コード例 #1
0
ファイル: shapedescr.cpp プロジェクト: Bitlsoft/Imagenius_SDK
/* external contour area function */
CV_IMPL double
cvContourArea( const void *array, CvSlice slice, int oriented )
{
    double area = 0;

    CvContour contour_header;
    CvSeq* contour = 0;
    CvSeqBlock block;

    if( CV_IS_SEQ( array ))
    {
        contour = (CvSeq*)array;
        if( !CV_IS_SEQ_POLYLINE( contour ))
            CV_Error( CV_StsBadArg, "Unsupported sequence type" );
    }
    else
    {
        contour = cvPointSeqFromMat( CV_SEQ_KIND_CURVE, array, &contour_header, &block );
    }

    if( cvSliceLength( slice, contour ) == contour->total )
    {
        IPPI_CALL( icvContourArea( contour, &area ));
    }
    else
    {
        if( CV_SEQ_ELTYPE( contour ) != CV_32SC2 )
            CV_Error( CV_StsUnsupportedFormat,
            "Only curves with integer coordinates are supported in case of contour slice" );
        IPPI_CALL( icvContourSecArea( contour, slice, &area ));
    }

    return oriented ? area : fabs(area);
}
コード例 #2
0
ファイル: shapedescr.cpp プロジェクト: 4auka/opencv
/* external contour area function */
CV_IMPL double
cvContourArea( const void *array, CvSlice slice, int oriented )
{
    double area = 0;

    CvContour contour_header;
    CvSeq* contour = 0;
    CvSeqBlock block;

    if( CV_IS_SEQ( array ))
    {
        contour = (CvSeq*)array;
        if( !CV_IS_SEQ_POLYLINE( contour ))
            CV_Error( CV_StsBadArg, "Unsupported sequence type" );
    }
    else
    {
        contour = cvPointSeqFromMat( CV_SEQ_KIND_CURVE, array, &contour_header, &block );
    }

    if( cvSliceLength( slice, contour ) == contour->total )
    {
        cv::AutoBuffer<double> abuf;
        cv::Mat points = cv::cvarrToMat(contour, false, false, 0, &abuf);
        return cv::contourArea( points, oriented !=0 );
    }

    if( CV_SEQ_ELTYPE( contour ) != CV_32SC2 )
        CV_Error( CV_StsUnsupportedFormat,
        "Only curves with integer coordinates are supported in case of contour slice" );
    area = icvContourSecArea( contour, slice );
    return oriented ? area : fabs(area);
}
コード例 #3
0
ファイル: shapedescr.cpp プロジェクト: 4auka/opencv
/* Calculates bounding rectagnle of a point set or retrieves already calculated */
CV_IMPL  CvRect
cvBoundingRect( CvArr* array, int update )
{
    CvRect  rect = { 0, 0, 0, 0 };
    CvContour contour_header;
    CvSeq* ptseq = 0;
    CvSeqBlock block;

    CvMat stub, *mat = 0;
    int calculate = update;

    if( CV_IS_SEQ( array ))
    {
        ptseq = (CvSeq*)array;
        if( !CV_IS_SEQ_POINT_SET( ptseq ))
            CV_Error( CV_StsBadArg, "Unsupported sequence type" );

        if( ptseq->header_size < (int)sizeof(CvContour))
        {
            update = 0;
            calculate = 1;
        }
    }
    else
    {
        mat = cvGetMat( array, &stub );
        if( CV_MAT_TYPE(mat->type) == CV_32SC2 ||
            CV_MAT_TYPE(mat->type) == CV_32FC2 )
        {
            ptseq = cvPointSeqFromMat(CV_SEQ_KIND_GENERIC, mat, &contour_header, &block);
            mat = 0;
        }
        else if( CV_MAT_TYPE(mat->type) != CV_8UC1 &&
                CV_MAT_TYPE(mat->type) != CV_8SC1 )
            CV_Error( CV_StsUnsupportedFormat,
                "The image/matrix format is not supported by the function" );
        update = 0;
        calculate = 1;
    }

    if( !calculate )
        return ((CvContour*)ptseq)->rect;

    if( mat )
    {
        rect = cv::maskBoundingRect(cv::cvarrToMat(mat));
    }
    else if( ptseq->total )
    {
        cv::AutoBuffer<double> abuf;
        rect = cv::pointSetBoundingRect(cv::cvarrToMat(ptseq, false, false, 0, &abuf));
    }
    if( update )
        ((CvContour*)ptseq)->rect = rect;
    return rect;
}
コード例 #4
0
ファイル: moments.cpp プロジェクト: AlgoFl4sh/opencv
        Moments ocl_moments(InputArray _contour) //for contour
        {
            CvMoments mom;
            memset(&mom, 0, sizeof(mom));

            Mat arr = _contour.getMat();
            CvMat c_array = arr;

            const void* array = &c_array;

            CvSeq* contour = 0;
            if( CV_IS_SEQ( array ))
            {
                contour = (CvSeq*)(array);
                if( !CV_IS_SEQ_POINT_SET( contour ))
                    CV_Error( CV_StsBadArg, "The passed sequence is not a valid contour" );
            }

            int type, coi = 0;

            CvMat stub, *mat = (CvMat*)(array);
            CvContour contourHeader;
            CvSeqBlock block;

            if( !contour )
            {
                mat = cvGetMat( mat, &stub, &coi );
                type = CV_MAT_TYPE( mat->type );

                if( type == CV_32SC2 || type == CV_32FC2 )
                {
                    contour = cvPointSeqFromMat(
                        CV_SEQ_KIND_CURVE | CV_SEQ_FLAG_CLOSED,
                        mat, &contourHeader, &block );
                }
            }

            CV_Assert(contour);

            icvContourMoments(contour, &mom);
            return mom;
        }
コード例 #5
0
CV_IMPL CvBox2D
cvFitEllipse2( const CvArr* array )
{
    CvBox2D box;
    
    CV_FUNCNAME( "cvFitEllipse2" );

    memset( &box, 0, sizeof(box));

    __BEGIN__;

    CvContour contour_header;
    CvSeq* ptseq = 0;
    CvSeqBlock block;

    if( CV_IS_SEQ( array ))
    {
        ptseq = (CvSeq*)array;
        if( !CV_IS_SEQ_POINT_SET( ptseq ))
            CV_ERROR( CV_StsBadArg, "Unsupported sequence type" );
    }
    else
    {
        CV_CALL( ptseq = cvPointSeqFromMat(
            CV_SEQ_KIND_GENERIC, array, &contour_header, &block ));
    }

    if( ptseq->total < 6 )
        CV_ERROR( CV_StsBadSize, "Number of points should be >= 6" );

    IPPI_CALL( icvFitEllipse_32f( ptseq, &box ));

    __END__;

    return box;
}
コード例 #6
0
CV_IMPL double
cvPointPolygonTest( const CvArr* _contour, CvPoint2D32f pt, int measure_dist )
{
    double result = 0;
    CV_FUNCNAME( "cvCheckPointPolygon" );

    __BEGIN__;
    
    CvSeqBlock block;
    CvContour header;
    CvSeq* contour = (CvSeq*)_contour;
    CvSeqReader reader;
    int i, total, counter = 0;
    int is_float;
    double min_dist_num = FLT_MAX, min_dist_denom = 1;
    CvPoint ip = {0,0};

    if( !CV_IS_SEQ(contour) )
    {
        CV_CALL( contour = cvPointSeqFromMat( CV_SEQ_KIND_CURVE + CV_SEQ_FLAG_CLOSED,
                                              _contour, &header, &block ));
    }
    else if( CV_IS_SEQ_POLYGON(contour) )
    {
        if( contour->header_size == sizeof(CvContour) && !measure_dist )
        {
            CvRect r = ((CvContour*)contour)->rect;
            if( pt.x < r.x || pt.y < r.y ||
                pt.x >= r.x + r.width || pt.y >= r.y + r.height )
                return -100;
        }
    }
    else if( CV_IS_SEQ_CHAIN(contour) )
    {
        CV_ERROR( CV_StsBadArg,
            "Chains are not supported. Convert them to polygonal representation using cvApproxChains()" );
    }
    else
        CV_ERROR( CV_StsBadArg, "Input contour is neither a valid sequence nor a matrix" );

    total = contour->total;
    is_float = CV_SEQ_ELTYPE(contour) == CV_32FC2;
    cvStartReadSeq( contour, &reader, -1 );

    if( !is_float && !measure_dist && (ip.x = cvRound(pt.x)) == pt.x && (ip.y = cvRound(pt.y)) == pt.y )
    {
        // the fastest "pure integer" branch
        CvPoint v0, v;
        CV_READ_SEQ_ELEM( v, reader );

        for( i = 0; i < total; i++ )
        {
            int dist;
            v0 = v;
            CV_READ_SEQ_ELEM( v, reader );

            if( (v0.y <= ip.y && v.y <= ip.y) ||
                (v0.y > ip.y && v.y > ip.y) ||
                (v0.x < ip.x && v.x < ip.x) )
            {
                if( ip.y == v.y && (ip.x == v.x || (ip.y == v0.y &&
                    ((v0.x <= ip.x && ip.x <= v.x) || (v.x <= ip.x && ip.x <= v0.x)))) )
                    EXIT;
                continue;
            }

            dist = (ip.y - v0.y)*(v.x - v0.x) - (ip.x - v0.x)*(v.y - v0.y);
            if( dist == 0 )
                EXIT;
            if( v.y < v0.y )
                dist = -dist;
            counter += dist > 0;
        }

        result = counter % 2 == 0 ? -100 : 100;
    }
    else
    {
        CvPoint2D32f v0, v;
        CvPoint iv;

        if( is_float )
        {
            CV_READ_SEQ_ELEM( v, reader );
        }
        else
        {
            CV_READ_SEQ_ELEM( iv, reader );
            v = cvPointTo32f( iv );
        }

        if( !measure_dist )
        {
            for( i = 0; i < total; i++ )
            {
                double dist;
                v0 = v;
                if( is_float )
                {
                    CV_READ_SEQ_ELEM( v, reader );
                }
                else
                {
                    CV_READ_SEQ_ELEM( iv, reader );
                    v = cvPointTo32f( iv );
                }

                if( (v0.y <= pt.y && v.y <= pt.y) ||
                    (v0.y > pt.y && v.y > pt.y) ||
                    (v0.x < pt.x && v.x < pt.x) )
                {
                    if( pt.y == v.y && (pt.x == v.x || (pt.y == v0.y &&
                        ((v0.x <= pt.x && pt.x <= v.x) || (v.x <= pt.x && pt.x <= v0.x)))) )
                        EXIT;
                    continue;
                }

                dist = (double)(pt.y - v0.y)*(v.x - v0.x) - (double)(pt.x - v0.x)*(v.y - v0.y);
                if( dist == 0 )
                    EXIT;
                if( v.y < v0.y )
                    dist = -dist;
                counter += dist > 0;
            }

            result = counter % 2 == 0 ? -100 : 100;
        }
        else
        {
            for( i = 0; i < total; i++ )
            {
                double dx, dy, dx1, dy1, dx2, dy2, dist_num, dist_denom = 1;
        
                v0 = v;
                if( is_float )
                {
                    CV_READ_SEQ_ELEM( v, reader );
                }
                else
                {
                    CV_READ_SEQ_ELEM( iv, reader );
                    v = cvPointTo32f( iv );
                }
        
                dx = v.x - v0.x; dy = v.y - v0.y;
                dx1 = pt.x - v0.x; dy1 = pt.y - v0.y;
                dx2 = pt.x - v.x; dy2 = pt.y - v.y;
        
                if( dx1*dx + dy1*dy <= 0 )
                    dist_num = dx1*dx1 + dy1*dy1;
                else if( dx2*dx + dy2*dy >= 0 )
                    dist_num = dx2*dx2 + dy2*dy2;
                else
                {
                    dist_num = (dy1*dx - dx1*dy);
                    dist_num *= dist_num;
                    dist_denom = dx*dx + dy*dy;
                }

                if( dist_num*min_dist_denom < min_dist_num*dist_denom )
                {
                    min_dist_num = dist_num;
                    min_dist_denom = dist_denom;
                    if( min_dist_num == 0 )
                        break;
                }

                if( (v0.y <= pt.y && v.y <= pt.y) ||
                    (v0.y > pt.y && v.y > pt.y) ||
                    (v0.x < pt.x && v.x < pt.x) )
                    continue;

                dist_num = dy1*dx - dx1*dy;
                if( dy < 0 )
                    dist_num = -dist_num;
                counter += dist_num > 0;
            }

            result = sqrt(min_dist_num/min_dist_denom);
            if( counter % 2 == 0 )
                result = -result;
        }
    }

    __END__;

    return result;
}
コード例 #7
0
ファイル: cvshapedescr.cpp プロジェクト: JackJone/opencv
CV_IMPL CvBox2D
cvFitEllipse2( const CvArr* array )
{
    CvBox2D box;
    double* Ad = 0, *bd = 0;

    CV_FUNCNAME( "cvFitEllipse2" );

    memset( &box, 0, sizeof(box));

    __BEGIN__;

    CvContour contour_header;
    CvSeq* ptseq = 0;
    CvSeqBlock block;
    int n;

    if( CV_IS_SEQ( array ))
    {
        ptseq = (CvSeq*)array;
        if( !CV_IS_SEQ_POINT_SET( ptseq ))
            CV_ERROR( CV_StsBadArg, "Unsupported sequence type" );
    }
    else
    {
        CV_CALL( ptseq = cvPointSeqFromMat(
            CV_SEQ_KIND_GENERIC, array, &contour_header, &block ));
    }

    n = ptseq->total;
    if( n < 5 )
        CV_ERROR( CV_StsBadSize, "Number of points should be >= 6" );
#if 1
    icvFitEllipse_F( ptseq, &box );
#else
    /*
     *	New fitellipse algorithm, contributed by Dr. Daniel Weiss
     */
    {
    double gfp[5], rp[5], t;
    CvMat A, b, x;
    const double min_eps = 1e-6;
    int i, is_float;
    CvSeqReader reader;

    CV_CALL( Ad = (double*)cvAlloc( n*5*sizeof(Ad[0]) ));
    CV_CALL( bd = (double*)cvAlloc( n*sizeof(bd[0]) ));

    // first fit for parameters A - E
    A = cvMat( n, 5, CV_64F, Ad );
    b = cvMat( n, 1, CV_64F, bd );
    x = cvMat( 5, 1, CV_64F, gfp );

    cvStartReadSeq( ptseq, &reader );
    is_float = CV_SEQ_ELTYPE(ptseq) == CV_32FC2;

    for( i = 0; i < n; i++ )
    {
        CvPoint2D32f p;
        if( is_float )
            p = *(CvPoint2D32f*)(reader.ptr);
        else
        {
            p.x = (float)((int*)reader.ptr)[0];
            p.y = (float)((int*)reader.ptr)[1];
        }
        CV_NEXT_SEQ_ELEM( sizeof(p), reader );

        bd[i] = 10000.0; // 1.0?
        Ad[i*5] = -(double)p.x * p.x; // A - C signs inverted as proposed by APP
        Ad[i*5 + 1] = -(double)p.y * p.y;
        Ad[i*5 + 2] = -(double)p.x * p.y;
        Ad[i*5 + 3] = p.x;
        Ad[i*5 + 4] = p.y;
    }
    
    cvSolve( &A, &b, &x, CV_SVD );

    // now use general-form parameters A - E to find the ellipse center:
    // differentiate general form wrt x/y to get two equations for cx and cy
    A = cvMat( 2, 2, CV_64F, Ad );
    b = cvMat( 2, 1, CV_64F, bd );
    x = cvMat( 2, 1, CV_64F, rp );
    Ad[0] = 2 * gfp[0];
    Ad[1] = Ad[2] = gfp[2];
    Ad[3] = 2 * gfp[1];
    bd[0] = gfp[3];
    bd[1] = gfp[4];
    cvSolve( &A, &b, &x, CV_SVD );

    // re-fit for parameters A - C with those center coordinates
    A = cvMat( n, 3, CV_64F, Ad );
    b = cvMat( n, 1, CV_64F, bd );
    x = cvMat( 3, 1, CV_64F, gfp );
    for( i = 0; i < n; i++ )
    {
        CvPoint2D32f p;
        if( is_float )
            p = *(CvPoint2D32f*)(reader.ptr);
        else
        {
            p.x = (float)((int*)reader.ptr)[0];
            p.y = (float)((int*)reader.ptr)[1];
        }
        CV_NEXT_SEQ_ELEM( sizeof(p), reader );
        bd[i] = 1.0;
        Ad[i * 3] = (p.x - rp[0]) * (p.x - rp[0]);
        Ad[i * 3 + 1] = (p.y - rp[1]) * (p.y - rp[1]);
        Ad[i * 3 + 2] = (p.x - rp[0]) * (p.y - rp[1]);
    }
    cvSolve(&A, &b, &x, CV_SVD);

    // store angle and radii
    rp[4] = -0.5 * atan2(gfp[2], gfp[1] - gfp[0]); // convert from APP angle usage
    t = sin(-2.0 * rp[4]);
    if( fabs(t) > fabs(gfp[2])*min_eps )
        t = gfp[2]/t;
    else
        t = gfp[1] - gfp[0];
    rp[2] = fabs(gfp[0] + gfp[1] - t);
    if( rp[2] > min_eps )
        rp[2] = sqrt(2.0 / rp[2]);
    rp[3] = fabs(gfp[0] + gfp[1] + t);
    if( rp[3] > min_eps )
        rp[3] = sqrt(2.0 / rp[3]);

    box.center.x = (float)rp[0];
    box.center.y = (float)rp[1];
    box.size.width = (float)(rp[2]*2);
    box.size.height = (float)(rp[3]*2);
    if( box.size.width > box.size.height )
    {
        float tmp;
        CV_SWAP( box.size.width, box.size.height, tmp );
        box.angle = (float)(90 + rp[4]*180/CV_PI);
    }
    if( box.angle < -180 )
        box.angle += 360;
    if( box.angle > 360 )
        box.angle -= 360;
    }
#endif
    __END__;

    cvFree( &Ad );
    cvFree( &bd );

    return box;
}
コード例 #8
0
ファイル: cvshapedescr.cpp プロジェクト: JackJone/opencv
CV_IMPL int
cvMinEnclosingCircle( const void* array, CvPoint2D32f * _center, float *_radius )
{
    const int max_iters = 100;
    const float eps = FLT_EPSILON*2;
    CvPoint2D32f center = { 0, 0 };
    float radius = 0;
    int result = 0;

    if( _center )
        _center->x = _center->y = 0.f;
    if( _radius )
        *_radius = 0;

    CV_FUNCNAME( "cvMinEnclosingCircle" );

    __BEGIN__;

    CvSeqReader reader;
    int i, k, count;
    CvPoint2D32f pts[8];
    CvContour contour_header;
    CvSeqBlock block;
    CvSeq* sequence = 0;
    int is_float;

    if( !_center || !_radius )
        CV_ERROR( CV_StsNullPtr, "Null center or radius pointers" );

    if( CV_IS_SEQ(array) )
    {
        sequence = (CvSeq*)array;
        if( !CV_IS_SEQ_POINT_SET( sequence ))
            CV_ERROR( CV_StsBadArg, "The passed sequence is not a valid contour" );
    }
    else
    {
        CV_CALL( sequence = cvPointSeqFromMat(
            CV_SEQ_KIND_GENERIC, array, &contour_header, &block ));
    }

    if( sequence->total <= 0 )
        CV_ERROR_FROM_STATUS( CV_BADSIZE_ERR );

    CV_CALL( cvStartReadSeq( sequence, &reader, 0 ));

    count = sequence->total;
    is_float = CV_SEQ_ELTYPE(sequence) == CV_32FC2;

    if( !is_float )
    {
        CvPoint *pt_left, *pt_right, *pt_top, *pt_bottom;
        CvPoint pt;
        pt_left = pt_right = pt_top = pt_bottom = (CvPoint *)(reader.ptr);
        CV_READ_SEQ_ELEM( pt, reader );

        for( i = 1; i < count; i++ )
        {
            CvPoint* pt_ptr = (CvPoint*)reader.ptr;
            CV_READ_SEQ_ELEM( pt, reader );

            if( pt.x < pt_left->x )
                pt_left = pt_ptr;
            if( pt.x > pt_right->x )
                pt_right = pt_ptr;
            if( pt.y < pt_top->y )
                pt_top = pt_ptr;
            if( pt.y > pt_bottom->y )
                pt_bottom = pt_ptr;
        }

        pts[0] = cvPointTo32f( *pt_left );
        pts[1] = cvPointTo32f( *pt_right );
        pts[2] = cvPointTo32f( *pt_top );
        pts[3] = cvPointTo32f( *pt_bottom );
    }
    else
    {
        CvPoint2D32f *pt_left, *pt_right, *pt_top, *pt_bottom;
        CvPoint2D32f pt;
        pt_left = pt_right = pt_top = pt_bottom = (CvPoint2D32f *) (reader.ptr);
        CV_READ_SEQ_ELEM( pt, reader );

        for( i = 1; i < count; i++ )
        {
            CvPoint2D32f* pt_ptr = (CvPoint2D32f*)reader.ptr;
            CV_READ_SEQ_ELEM( pt, reader );

            if( pt.x < pt_left->x )
                pt_left = pt_ptr;
            if( pt.x > pt_right->x )
                pt_right = pt_ptr;
            if( pt.y < pt_top->y )
                pt_top = pt_ptr;
            if( pt.y > pt_bottom->y )
                pt_bottom = pt_ptr;
        }

        pts[0] = *pt_left;
        pts[1] = *pt_right;
        pts[2] = *pt_top;
        pts[3] = *pt_bottom;
    }

    for( k = 0; k < max_iters; k++ )
    {
        double min_delta = 0, delta;
        CvPoint2D32f ptfl;
        
        icvFindEnslosingCicle4pts_32f( pts, &center, &radius );
        cvStartReadSeq( sequence, &reader, 0 );

        for( i = 0; i < count; i++ )
        {
            if( !is_float )
            {
                ptfl.x = (float)((CvPoint*)reader.ptr)->x;
                ptfl.y = (float)((CvPoint*)reader.ptr)->y;
            }
            else
            {
                ptfl = *(CvPoint2D32f*)reader.ptr;
            }
            CV_NEXT_SEQ_ELEM( sequence->elem_size, reader );

            delta = icvIsPtInCircle( ptfl, center, radius );
            if( delta < min_delta )
            {
                min_delta = delta;
                pts[3] = ptfl;
            }
        }
        result = min_delta >= 0;
        if( result )
            break;
    }

    if( !result )
    {
        cvStartReadSeq( sequence, &reader, 0 );
        radius = 0.f;

        for( i = 0; i < count; i++ )
        {
            CvPoint2D32f ptfl;
            float t, dx, dy;

            if( !is_float )
            {
                ptfl.x = (float)((CvPoint*)reader.ptr)->x;
                ptfl.y = (float)((CvPoint*)reader.ptr)->y;
            }
            else
            {
                ptfl = *(CvPoint2D32f*)reader.ptr;
            }

            CV_NEXT_SEQ_ELEM( sequence->elem_size, reader );
            dx = center.x - ptfl.x;
            dy = center.y - ptfl.y;
            t = dx*dx + dy*dy;
            radius = MAX(radius,t);
        }

        radius = (float)(sqrt(radius)*(1 + eps));
        result = 1;
    }

    __END__;

    *_center = center;
    *_radius = radius;

    return result;
}
コード例 #9
0
ファイル: cvshapedescr.cpp プロジェクト: JackJone/opencv
/* Calculates bounding rectagnle of a point set or retrieves already calculated */
CV_IMPL  CvRect
cvBoundingRect( CvArr* array, int update )
{
    CvSeqReader reader;
    CvRect  rect = { 0, 0, 0, 0 };
    CvContour contour_header;
    CvSeq* ptseq = 0;
    CvSeqBlock block;

    CV_FUNCNAME( "cvBoundingRect" );

    __BEGIN__;

    CvMat stub, *mat = 0;
    int  xmin = 0, ymin = 0, xmax = -1, ymax = -1, i, j, k;
    int calculate = update;

    if( CV_IS_SEQ( array ))
    {
        ptseq = (CvSeq*)array;
        if( !CV_IS_SEQ_POINT_SET( ptseq ))
            CV_ERROR( CV_StsBadArg, "Unsupported sequence type" );

        if( ptseq->header_size < (int)sizeof(CvContour))
        {
            /*if( update == 1 )
                CV_ERROR( CV_StsBadArg, "The header is too small to fit the rectangle, "
                                        "so it could not be updated" );*/
            update = 0;
            calculate = 1;
        }
    }
    else
    {
        CV_CALL( mat = cvGetMat( array, &stub ));
        if( CV_MAT_TYPE(mat->type) == CV_32SC2 ||
            CV_MAT_TYPE(mat->type) == CV_32FC2 )
        {
            CV_CALL( ptseq = cvPointSeqFromMat(
                CV_SEQ_KIND_GENERIC, mat, &contour_header, &block ));
            mat = 0;
        }
        else if( CV_MAT_TYPE(mat->type) != CV_8UC1 &&
                CV_MAT_TYPE(mat->type) != CV_8SC1 )
            CV_ERROR( CV_StsUnsupportedFormat,
                "The image/matrix format is not supported by the function" );
        update = 0;
        calculate = 1;
    }

    if( !calculate )
    {
        rect = ((CvContour*)ptseq)->rect;
        EXIT;
    }

    if( mat )
    {
        CvSize size = cvGetMatSize(mat);
        xmin = size.width;
        ymin = -1;

        for( i = 0; i < size.height; i++ )
        {
            uchar* _ptr = mat->data.ptr + i*mat->step;
            uchar* ptr = (uchar*)cvAlignPtr(_ptr, 4);
            int have_nz = 0, k_min, offset = (int)(ptr - _ptr);
            j = 0;
            offset = MIN(offset, size.width);
            for( ; j < offset; j++ )
                if( _ptr[j] )
                {
                    have_nz = 1;
                    break;
                }
            if( j < offset )
            {
                if( j < xmin )
                    xmin = j;
                if( j > xmax )
                    xmax = j;
            }
            if( offset < size.width )
            {
                xmin -= offset;
                xmax -= offset;
                size.width -= offset;
                j = 0;
                for( ; j <= xmin - 4; j += 4 )
                    if( *((int*)(ptr+j)) )
                        break;
                for( ; j < xmin; j++ )
                    if( ptr[j] )
                    {
                        xmin = j;
                        if( j > xmax )
                            xmax = j;
                        have_nz = 1;
                        break;
                    }
                k_min = MAX(j-1, xmax);
                k = size.width - 1;
                for( ; k > k_min && (k&3) != 3; k-- )
                    if( ptr[k] )
                        break;
                if( k > k_min && (k&3) == 3 )
                {
                    for( ; k > k_min+3; k -= 4 )
                        if( *((int*)(ptr+k-3)) )
                            break;
                }
                for( ; k > k_min; k-- )
                    if( ptr[k] )
                    {
                        xmax = k;
                        have_nz = 1;
                        break;
                    }
                if( !have_nz )
                {
                    j &= ~3;
                    for( ; j <= k - 3; j += 4 )
                        if( *((int*)(ptr+j)) )
                            break;
                    for( ; j <= k; j++ )
                        if( ptr[j] )
                        {
                            have_nz = 1;
                            break;
                        }
                }
                xmin += offset;
                xmax += offset;
                size.width += offset;
            }
            if( have_nz )
            {
                if( ymin < 0 )
                    ymin = i;
                ymax = i;
            }
        }

        if( xmin >= size.width )
            xmin = ymin = 0;
    }
    else if( ptseq->total )
    {   
        int  is_float = CV_SEQ_ELTYPE(ptseq) == CV_32FC2;
        cvStartReadSeq( ptseq, &reader, 0 );

        if( !is_float )
        {
            CvPoint pt;
            /* init values */
            CV_READ_SEQ_ELEM( pt, reader );
            xmin = xmax = pt.x;
            ymin = ymax = pt.y;

            for( i = 1; i < ptseq->total; i++ )
            {            
                CV_READ_SEQ_ELEM( pt, reader );
        
                if( xmin > pt.x )
                    xmin = pt.x;
        
                if( xmax < pt.x )
                    xmax = pt.x;

                if( ymin > pt.y )
                    ymin = pt.y;

                if( ymax < pt.y )
                    ymax = pt.y;
            }
        }
        else
        {
            CvPoint pt;
            Cv32suf v;
            /* init values */
            CV_READ_SEQ_ELEM( pt, reader );
            xmin = xmax = CV_TOGGLE_FLT(pt.x);
            ymin = ymax = CV_TOGGLE_FLT(pt.y);

            for( i = 1; i < ptseq->total; i++ )
            {            
                CV_READ_SEQ_ELEM( pt, reader );
                pt.x = CV_TOGGLE_FLT(pt.x);
                pt.y = CV_TOGGLE_FLT(pt.y);
        
                if( xmin > pt.x )
                    xmin = pt.x;
        
                if( xmax < pt.x )
                    xmax = pt.x;

                if( ymin > pt.y )
                    ymin = pt.y;

                if( ymax < pt.y )
                    ymax = pt.y;
            }

            v.i = CV_TOGGLE_FLT(xmin); xmin = cvFloor(v.f);
            v.i = CV_TOGGLE_FLT(ymin); ymin = cvFloor(v.f);
            /* because right and bottom sides of
               the bounding rectangle are not inclusive
               (note +1 in width and height calculation below),
               cvFloor is used here instead of cvCeil */
            v.i = CV_TOGGLE_FLT(xmax); xmax = cvFloor(v.f);
            v.i = CV_TOGGLE_FLT(ymax); ymax = cvFloor(v.f);
        }
    }

    rect.x = xmin;
    rect.y = ymin;
    rect.width = xmax - xmin + 1;
    rect.height = ymax - ymin + 1;

    if( update )
        ((CvContour*)ptseq)->rect = rect;

    __END__;

    return rect;
}
コード例 #10
0
ファイル: cvconvhull.cpp プロジェクト: JackJone/opencv
CV_IMPL CvSeq*
cvConvexHull2( const CvArr* array, void* hull_storage,
               int orientation, int return_points )
{
    union { CvContour* c; CvSeq* s; } hull;
    CvPoint** pointer = 0;
    CvPoint2D32f** pointerf = 0;
    int* stack = 0;

    CV_FUNCNAME( "cvConvexHull2" );

    hull.s = 0;

    __BEGIN__;

    CvMat* mat = 0;
    CvSeqReader reader;
    CvSeqWriter writer;
    CvContour contour_header;
    union { CvContour c; CvSeq s; } hull_header;
    CvSeqBlock block, hullblock;
    CvSeq* ptseq = 0;
    CvSeq* hullseq = 0;
    int is_float;
    int* t_stack;
    int t_count;
    int i, miny_ind = 0, maxy_ind = 0, total;
    int hulltype;
    int stop_idx;
    sklansky_func sklansky;

    if( CV_IS_SEQ( array ))
    {
        ptseq = (CvSeq*)array;
        if( !CV_IS_SEQ_POINT_SET( ptseq ))
            CV_ERROR( CV_StsBadArg, "Unsupported sequence type" );
        if( hull_storage == 0 )
            hull_storage = ptseq->storage;
    }
    else
    {
        CV_CALL( ptseq = cvPointSeqFromMat(
            CV_SEQ_KIND_GENERIC, array, &contour_header, &block ));
    }

    if( CV_IS_STORAGE( hull_storage ))
    {
        if( return_points )
        {
            CV_CALL( hullseq = cvCreateSeq(
                CV_SEQ_KIND_CURVE|CV_SEQ_ELTYPE(ptseq)|
                CV_SEQ_FLAG_CLOSED|CV_SEQ_FLAG_CONVEX,
                sizeof(CvContour), sizeof(CvPoint),(CvMemStorage*)hull_storage ));
        }
        else
        {
            CV_CALL( hullseq = cvCreateSeq(
                CV_SEQ_KIND_CURVE|CV_SEQ_ELTYPE_PPOINT|
                CV_SEQ_FLAG_CLOSED|CV_SEQ_FLAG_CONVEX,
                sizeof(CvContour), sizeof(CvPoint*), (CvMemStorage*)hull_storage ));
        }
    }
    else
    {
        if( !CV_IS_MAT( hull_storage ))
            CV_ERROR(CV_StsBadArg, "Destination must be valid memory storage or matrix");

        mat = (CvMat*)hull_storage;

        if( mat->cols != 1 && mat->rows != 1 || !CV_IS_MAT_CONT(mat->type))
            CV_ERROR( CV_StsBadArg,
            "The hull matrix should be continuous and have a single row or a single column" );

        if( mat->cols + mat->rows - 1 < ptseq->total )
            CV_ERROR( CV_StsBadSize, "The hull matrix size might be not enough to fit the hull" );

        if( CV_MAT_TYPE(mat->type) != CV_SEQ_ELTYPE(ptseq) &&
            CV_MAT_TYPE(mat->type) != CV_32SC1 )
            CV_ERROR( CV_StsUnsupportedFormat,
            "The hull matrix must have the same type as input or 32sC1 (integers)" );

        CV_CALL( hullseq = cvMakeSeqHeaderForArray(
            CV_SEQ_KIND_CURVE|CV_MAT_TYPE(mat->type)|CV_SEQ_FLAG_CLOSED,
            sizeof(contour_header), CV_ELEM_SIZE(mat->type), mat->data.ptr,
            mat->cols + mat->rows - 1, &hull_header.s, &hullblock ));

        cvClearSeq( hullseq );
    }

    total = ptseq->total;
    if( total == 0 )
    {
        if( mat )
            CV_ERROR( CV_StsBadSize,
            "Point sequence can not be empty if the output is matrix" );
        EXIT;
    }

    cvStartAppendToSeq( hullseq, &writer );

    is_float = CV_SEQ_ELTYPE(ptseq) == CV_32FC2;
    hulltype = CV_SEQ_ELTYPE(hullseq);
    sklansky = !is_float ? (sklansky_func)icvSklansky_32s :
                           (sklansky_func)icvSklansky_32f;

    CV_CALL( pointer = (CvPoint**)cvAlloc( ptseq->total*sizeof(pointer[0]) ));
    CV_CALL( stack = (int*)cvAlloc( (ptseq->total + 2)*sizeof(stack[0]) ));
    pointerf = (CvPoint2D32f**)pointer;

    cvStartReadSeq( ptseq, &reader );

    for( i = 0; i < total; i++ )
    {
        pointer[i] = (CvPoint*)reader.ptr;
        CV_NEXT_SEQ_ELEM( ptseq->elem_size, reader );
    }

    // sort the point set by x-coordinate, find min and max y
    if( !is_float )
    {
        icvSortPointsByPointers_32s( pointer, total, 0 );
        for( i = 1; i < total; i++ )
        {
            int y = pointer[i]->y;
            if( pointer[miny_ind]->y > y )
                miny_ind = i;
            if( pointer[maxy_ind]->y < y )
                maxy_ind = i;
        }
    }
    else
    {
        icvSortPointsByPointers_32f( pointerf, total, 0 );
        for( i = 1; i < total; i++ )
        {
            float y = pointerf[i]->y;
            if( pointerf[miny_ind]->y > y )
                miny_ind = i;
            if( pointerf[maxy_ind]->y < y )
                maxy_ind = i;
        }
    }

    if( pointer[0]->x == pointer[total-1]->x &&
        pointer[0]->y == pointer[total-1]->y )
    {
        if( hulltype == CV_SEQ_ELTYPE_PPOINT )
        {
            CV_WRITE_SEQ_ELEM( pointer[0], writer );
        }
        else if( hulltype == CV_SEQ_ELTYPE_INDEX )
        {
            int index = 0;
            CV_WRITE_SEQ_ELEM( index, writer );
        }
        else
        {
            CvPoint pt = pointer[0][0];
            CV_WRITE_SEQ_ELEM( pt, writer );
        }
        goto finish_hull;
    }

    /*upper half */
    {
        int *tl_stack = stack;
        int tl_count = sklansky( pointer, 0, maxy_ind, tl_stack, -1, 1 );
        int *tr_stack = tl_stack + tl_count;
        int tr_count = sklansky( pointer, ptseq->total - 1, maxy_ind, tr_stack, -1, -1 );

        /* gather upper part of convex hull to output */
        if( orientation == CV_COUNTER_CLOCKWISE )
        {
            CV_SWAP( tl_stack, tr_stack, t_stack );
            CV_SWAP( tl_count, tr_count, t_count );
        }

        if( hulltype == CV_SEQ_ELTYPE_PPOINT )
        {
            for( i = 0; i < tl_count - 1; i++ )
                CV_WRITE_SEQ_ELEM( pointer[tl_stack[i]], writer );

            for( i = tr_count - 1; i > 0; i-- )
                CV_WRITE_SEQ_ELEM( pointer[tr_stack[i]], writer );
        }
        else if( hulltype == CV_SEQ_ELTYPE_INDEX )
        {
            CV_CALL( icvCalcAndWritePtIndices( pointer, tl_stack,
                                               0, tl_count-1, ptseq, &writer ));
            CV_CALL( icvCalcAndWritePtIndices( pointer, tr_stack,
                                               tr_count-1, 0, ptseq, &writer ));
        }
        else
        {
            for( i = 0; i < tl_count - 1; i++ )
                CV_WRITE_SEQ_ELEM( pointer[tl_stack[i]][0], writer );

            for( i = tr_count - 1; i > 0; i-- )
                CV_WRITE_SEQ_ELEM( pointer[tr_stack[i]][0], writer );
        }
        stop_idx = tr_count > 2 ? tr_stack[1] : tl_count > 2 ? tl_stack[tl_count - 2] : -1;
    }

    /* lower half */
    {
        int *bl_stack = stack;
        int bl_count = sklansky( pointer, 0, miny_ind, bl_stack, 1, -1 );
        int *br_stack = stack + bl_count;
        int br_count = sklansky( pointer, ptseq->total - 1, miny_ind, br_stack, 1, 1 );

        if( orientation != CV_COUNTER_CLOCKWISE )
        {
            CV_SWAP( bl_stack, br_stack, t_stack );
            CV_SWAP( bl_count, br_count, t_count );
        }

        if( stop_idx >= 0 )
        {
            int check_idx = bl_count > 2 ? bl_stack[1] :
                            bl_count + br_count > 2 ? br_stack[2-bl_count] : -1;
            if( check_idx == stop_idx || check_idx >= 0 &&
                pointer[check_idx]->x == pointer[stop_idx]->x &&
                pointer[check_idx]->y == pointer[stop_idx]->y )
            {
                /* if all the points lie on the same line, then
                   the bottom part of the convex hull is the mirrored top part
                   (except the exteme points).*/
                bl_count = MIN( bl_count, 2 );
                br_count = MIN( br_count, 2 );
            }
        }

        if( hulltype == CV_SEQ_ELTYPE_PPOINT )
        {
            for( i = 0; i < bl_count - 1; i++ )
                CV_WRITE_SEQ_ELEM( pointer[bl_stack[i]], writer );

            for( i = br_count - 1; i > 0; i-- )
                CV_WRITE_SEQ_ELEM( pointer[br_stack[i]], writer );
        }
        else if( hulltype == CV_SEQ_ELTYPE_INDEX )
        {
            CV_CALL( icvCalcAndWritePtIndices( pointer, bl_stack,
                                               0, bl_count-1, ptseq, &writer ));
            CV_CALL( icvCalcAndWritePtIndices( pointer, br_stack,
                                               br_count-1, 0, ptseq, &writer ));
        }
        else
        {
            for( i = 0; i < bl_count - 1; i++ )
                CV_WRITE_SEQ_ELEM( pointer[bl_stack[i]][0], writer );

            for( i = br_count - 1; i > 0; i-- )
                CV_WRITE_SEQ_ELEM( pointer[br_stack[i]][0], writer );
        }
    }

finish_hull:
    CV_CALL( cvEndWriteSeq( &writer ));

    if( mat )
    {
        if( mat->rows > mat->cols )
            mat->rows = hullseq->total;
        else
            mat->cols = hullseq->total;
    }
    else
    {
        hull.s = hullseq;
        hull.c->rect = cvBoundingRect( ptseq,
            ptseq->header_size < (int)sizeof(CvContour) ||
            &ptseq->flags == &contour_header.flags );

        /*if( ptseq != (CvSeq*)&contour_header )
            hullseq->v_prev = ptseq;*/
    }

    __END__;

    cvFree( &pointer );
    cvFree( &stack );

    return hull.s;
}
コード例 #11
0
ファイル: convhull.cpp プロジェクト: Aspie96/opencv
CV_IMPL CvSeq*
cvConvexHull2( const CvArr* array, void* hull_storage,
               int orientation, int return_points )
{
    CvMat* mat = 0;
    CvContour contour_header;
    CvSeq hull_header;
    CvSeqBlock block, hullblock;
    CvSeq* ptseq = 0;
    CvSeq* hullseq = 0;

    if( CV_IS_SEQ( array ))
    {
        ptseq = (CvSeq*)array;
        if( !CV_IS_SEQ_POINT_SET( ptseq ))
            CV_Error( CV_StsBadArg, "Unsupported sequence type" );
        if( hull_storage == 0 )
            hull_storage = ptseq->storage;
    }
    else
    {
        ptseq = cvPointSeqFromMat( CV_SEQ_KIND_GENERIC, array, &contour_header, &block );
    }

    bool isStorage = isStorageOrMat(hull_storage);

    if(isStorage)
    {
        if( return_points )
        {
            hullseq = cvCreateSeq(CV_SEQ_KIND_CURVE|CV_SEQ_ELTYPE(ptseq)|
                                  CV_SEQ_FLAG_CLOSED|CV_SEQ_FLAG_CONVEX,
                                  sizeof(CvContour), sizeof(CvPoint),(CvMemStorage*)hull_storage );
        }
        else
        {
            hullseq = cvCreateSeq(
                                  CV_SEQ_KIND_CURVE|CV_SEQ_ELTYPE_PPOINT|
                                  CV_SEQ_FLAG_CLOSED|CV_SEQ_FLAG_CONVEX,
                                  sizeof(CvContour), sizeof(CvPoint*), (CvMemStorage*)hull_storage );
        }
    }
    else
    {
        mat = (CvMat*)hull_storage;

        if( (mat->cols != 1 && mat->rows != 1) || !CV_IS_MAT_CONT(mat->type))
            CV_Error( CV_StsBadArg,
                     "The hull matrix should be continuous and have a single row or a single column" );

        if( mat->cols + mat->rows - 1 < ptseq->total )
            CV_Error( CV_StsBadSize, "The hull matrix size might be not enough to fit the hull" );

        if( CV_MAT_TYPE(mat->type) != CV_SEQ_ELTYPE(ptseq) &&
           CV_MAT_TYPE(mat->type) != CV_32SC1 )
            CV_Error( CV_StsUnsupportedFormat,
                     "The hull matrix must have the same type as input or 32sC1 (integers)" );

        hullseq = cvMakeSeqHeaderForArray(
                                          CV_SEQ_KIND_CURVE|CV_MAT_TYPE(mat->type)|CV_SEQ_FLAG_CLOSED,
                                          sizeof(hull_header), CV_ELEM_SIZE(mat->type), mat->data.ptr,
                                          mat->cols + mat->rows - 1, &hull_header, &hullblock );
        cvClearSeq( hullseq );
    }

    int hulltype = CV_SEQ_ELTYPE(hullseq);
    int total = ptseq->total;
    if( total == 0 )
    {
        if( !isStorage )
            CV_Error( CV_StsBadSize,
                     "Point sequence can not be empty if the output is matrix" );
        return 0;
    }

    cv::AutoBuffer<double> _ptbuf;
    cv::Mat h0;
    cv::convexHull(cv::cvarrToMat(ptseq, false, false, 0, &_ptbuf), h0,
                   orientation == CV_CLOCKWISE, CV_MAT_CN(hulltype) == 2);


    if( hulltype == CV_SEQ_ELTYPE_PPOINT )
    {
        const int* idx = h0.ptr<int>();
        int ctotal = (int)h0.total();
        for( int i = 0; i < ctotal; i++ )
        {
            void* ptr = cvGetSeqElem(ptseq, idx[i]);
            cvSeqPush( hullseq, &ptr );
        }
    }
    else
        cvSeqPushMulti(hullseq, h0.ptr(), (int)h0.total());

    if (isStorage)
    {
        return hullseq;
    }
    else
    {
        if( mat->rows > mat->cols )
            mat->rows = hullseq->total;
        else
            mat->cols = hullseq->total;
        return 0;
    }
}
コード例 #12
0
ファイル: shapedescr.cpp プロジェクト: Brigadier1-9/node-dv
/* Calculates bounding rectagnle of a point set or retrieves already calculated */
CV_IMPL  CvRect
cvBoundingRect( CvArr* array, int update )
{
    CvSeqReader reader;
    CvRect  rect = { 0, 0, 0, 0 };
    CvContour contour_header;
    CvSeq* ptseq = 0;
    CvSeqBlock block;

    CvMat stub, *mat = 0;
    int  xmin = 0, ymin = 0, xmax = -1, ymax = -1, i, j, k;
    int calculate = update;

    if( CV_IS_SEQ( array ))
    {
        ptseq = (CvSeq*)array;
        if( !CV_IS_SEQ_POINT_SET( ptseq ))
            CV_Error( CV_StsBadArg, "Unsupported sequence type" );

        if( ptseq->header_size < (int)sizeof(CvContour))
        {
            update = 0;
            calculate = 1;
        }
    }
    else
    {
        mat = cvGetMat( array, &stub );
        if( CV_MAT_TYPE(mat->type) == CV_32SC2 ||
            CV_MAT_TYPE(mat->type) == CV_32FC2 )
        {
            ptseq = cvPointSeqFromMat(CV_SEQ_KIND_GENERIC, mat, &contour_header, &block);
            mat = 0;
        }
        else if( CV_MAT_TYPE(mat->type) != CV_8UC1 &&
                CV_MAT_TYPE(mat->type) != CV_8SC1 )
            CV_Error( CV_StsUnsupportedFormat,
                "The image/matrix format is not supported by the function" );
        update = 0;
        calculate = 1;
    }

    if( !calculate )
        return ((CvContour*)ptseq)->rect;

    if( mat )
    {
        CvSize size = cvGetMatSize(mat);
        xmin = size.width;
        ymin = -1;

        for( i = 0; i < size.height; i++ )
        {
            uchar* _ptr = mat->data.ptr + i*mat->step;
            uchar* ptr = (uchar*)cvAlignPtr(_ptr, 4);
            int have_nz = 0, k_min, offset = (int)(ptr - _ptr);
            j = 0;
            offset = MIN(offset, size.width);
            for( ; j < offset; j++ )
                if( _ptr[j] )
                {
                    have_nz = 1;
                    break;
                }
            if( j < offset )
            {
                if( j < xmin )
                    xmin = j;
                if( j > xmax )
                    xmax = j;
            }
            if( offset < size.width )
            {
                xmin -= offset;
                xmax -= offset;
                size.width -= offset;
                j = 0;
                for( ; j <= xmin - 4; j += 4 )
                    if( *((int*)(ptr+j)) )
                        break;
                for( ; j < xmin; j++ )
                    if( ptr[j] )
                    {
                        xmin = j;
                        if( j > xmax )
                            xmax = j;
                        have_nz = 1;
                        break;
                    }
                k_min = MAX(j-1, xmax);
                k = size.width - 1;
                for( ; k > k_min && (k&3) != 3; k-- )
                    if( ptr[k] )
                        break;
                if( k > k_min && (k&3) == 3 )
                {
                    for( ; k > k_min+3; k -= 4 )
                        if( *((int*)(ptr+k-3)) )
                            break;
                }
                for( ; k > k_min; k-- )
                    if( ptr[k] )
                    {
                        xmax = k;
                        have_nz = 1;
                        break;
                    }
                if( !have_nz )
                {
                    j &= ~3;
                    for( ; j <= k - 3; j += 4 )
                        if( *((int*)(ptr+j)) )
                            break;
                    for( ; j <= k; j++ )
                        if( ptr[j] )
                        {
                            have_nz = 1;
                            break;
                        }
                }
                xmin += offset;
                xmax += offset;
                size.width += offset;
            }
            if( have_nz )
            {
                if( ymin < 0 )
                    ymin = i;
                ymax = i;
            }
        }

        if( xmin >= size.width )
            xmin = ymin = 0;
    }
    else if( ptseq->total )
    {
        int  is_float = CV_SEQ_ELTYPE(ptseq) == CV_32FC2;
        cvStartReadSeq( ptseq, &reader, 0 );
        CvPoint pt;
        CV_READ_SEQ_ELEM( pt, reader );
    #if CV_SSE4_2
        if(cv::checkHardwareSupport(CV_CPU_SSE4_2))
        {
            if( !is_float )
            {
                __m128i minval, maxval;
                minval = maxval = _mm_loadl_epi64((const __m128i*)(&pt)); //min[0]=pt.x, min[1]=pt.y

                for( i = 1; i < ptseq->total; i++)
                {
                    __m128i ptXY = _mm_loadl_epi64((const __m128i*)(reader.ptr));
                    CV_NEXT_SEQ_ELEM(sizeof(pt), reader);
                    minval = _mm_min_epi32(ptXY, minval);
                    maxval = _mm_max_epi32(ptXY, maxval);
                }
                xmin = _mm_cvtsi128_si32(minval);
                ymin = _mm_cvtsi128_si32(_mm_srli_si128(minval, 4));
                xmax = _mm_cvtsi128_si32(maxval);
                ymax = _mm_cvtsi128_si32(_mm_srli_si128(maxval, 4));
            }
            else
            {
                __m128 minvalf, maxvalf, z = _mm_setzero_ps(), ptXY = _mm_setzero_ps();
                minvalf = maxvalf = _mm_loadl_pi(z, (const __m64*)(&pt));

                for( i = 1; i < ptseq->total; i++ )
                {
                    ptXY = _mm_loadl_pi(ptXY, (const __m64*)reader.ptr);
                    CV_NEXT_SEQ_ELEM(sizeof(pt), reader);

                    minvalf = _mm_min_ps(minvalf, ptXY);
                    maxvalf = _mm_max_ps(maxvalf, ptXY);
                }

                float xyminf[2], xymaxf[2];
                _mm_storel_pi((__m64*)xyminf, minvalf);
                _mm_storel_pi((__m64*)xymaxf, maxvalf);
                xmin = cvFloor(xyminf[0]);
                ymin = cvFloor(xyminf[1]);
                xmax = cvFloor(xymaxf[0]);
                ymax = cvFloor(xymaxf[1]);
            }
        }
        else
    #endif
        {
            if( !is_float )
            {
                xmin = xmax = pt.x;
                ymin = ymax = pt.y;

                for( i = 1; i < ptseq->total; i++ )
                {
                    CV_READ_SEQ_ELEM( pt, reader );

                    if( xmin > pt.x )
                        xmin = pt.x;

                    if( xmax < pt.x )
                        xmax = pt.x;

                    if( ymin > pt.y )
                        ymin = pt.y;

                    if( ymax < pt.y )
                        ymax = pt.y;
                }
            }
            else
            {
                Cv32suf v;
                // init values
                xmin = xmax = CV_TOGGLE_FLT(pt.x);
                ymin = ymax = CV_TOGGLE_FLT(pt.y);

                for( i = 1; i < ptseq->total; i++ )
                {
                    CV_READ_SEQ_ELEM( pt, reader );
                    pt.x = CV_TOGGLE_FLT(pt.x);
                    pt.y = CV_TOGGLE_FLT(pt.y);

                    if( xmin > pt.x )
                        xmin = pt.x;

                    if( xmax < pt.x )
                        xmax = pt.x;

                    if( ymin > pt.y )
                        ymin = pt.y;

                    if( ymax < pt.y )
                        ymax = pt.y;
                }

                v.i = CV_TOGGLE_FLT(xmin); xmin = cvFloor(v.f);
                v.i = CV_TOGGLE_FLT(ymin); ymin = cvFloor(v.f);
                // because right and bottom sides of the bounding rectangle are not inclusive
                // (note +1 in width and height calculation below), cvFloor is used here instead of cvCeil
                v.i = CV_TOGGLE_FLT(xmax); xmax = cvFloor(v.f);
                v.i = CV_TOGGLE_FLT(ymax); ymax = cvFloor(v.f);
            }
        }
        rect.x = xmin;
        rect.y = ymin;
        rect.width = xmax - xmin + 1;
        rect.height = ymax - ymin + 1;
    }
    if( update )
        ((CvContour*)ptseq)->rect = rect;
    return rect;
}
コード例 #13
0
ファイル: shapedescr.cpp プロジェクト: Brigadier1-9/node-dv
CV_IMPL int
cvMinEnclosingCircle( const void* array, CvPoint2D32f * _center, float *_radius )
{
    const int max_iters = 100;
    const float eps = FLT_EPSILON*2;
    CvPoint2D32f center = { 0, 0 };
    float radius = 0;
    int result = 0;

    if( _center )
        _center->x = _center->y = 0.f;
    if( _radius )
        *_radius = 0;

    CvSeqReader reader;
    int k, count;
    CvPoint2D32f pts[8];
    CvContour contour_header;
    CvSeqBlock block;
    CvSeq* sequence = 0;
    int is_float;

    if( !_center || !_radius )
        CV_Error( CV_StsNullPtr, "Null center or radius pointers" );

    if( CV_IS_SEQ(array) )
    {
        sequence = (CvSeq*)array;
        if( !CV_IS_SEQ_POINT_SET( sequence ))
            CV_Error( CV_StsBadArg, "The passed sequence is not a valid contour" );
    }
    else
    {
        sequence = cvPointSeqFromMat(
            CV_SEQ_KIND_GENERIC, array, &contour_header, &block );
    }

    if( sequence->total <= 0 )
        CV_Error( CV_StsBadSize, "" );

    cvStartReadSeq( sequence, &reader, 0 );

    count = sequence->total;
    is_float = CV_SEQ_ELTYPE(sequence) == CV_32FC2;

    if( !is_float )
    {
        CvPoint *pt_left, *pt_right, *pt_top, *pt_bottom;
        CvPoint pt;
        pt_left = pt_right = pt_top = pt_bottom = (CvPoint *)(reader.ptr);
        CV_READ_SEQ_ELEM( pt, reader );

        for(int i = 1; i < count; i++ )
        {
            CvPoint* pt_ptr = (CvPoint*)reader.ptr;
            CV_READ_SEQ_ELEM( pt, reader );

            if( pt.x < pt_left->x )
                pt_left = pt_ptr;
            if( pt.x > pt_right->x )
                pt_right = pt_ptr;
            if( pt.y < pt_top->y )
                pt_top = pt_ptr;
            if( pt.y > pt_bottom->y )
                pt_bottom = pt_ptr;
        }

        pts[0] = cvPointTo32f( *pt_left );
        pts[1] = cvPointTo32f( *pt_right );
        pts[2] = cvPointTo32f( *pt_top );
        pts[3] = cvPointTo32f( *pt_bottom );
    }
    else
    {
        CvPoint2D32f *pt_left, *pt_right, *pt_top, *pt_bottom;
        CvPoint2D32f pt;
        pt_left = pt_right = pt_top = pt_bottom = (CvPoint2D32f *) (reader.ptr);
        CV_READ_SEQ_ELEM( pt, reader );

        for(int i = 1; i < count; i++ )
        {
            CvPoint2D32f* pt_ptr = (CvPoint2D32f*)reader.ptr;
            CV_READ_SEQ_ELEM( pt, reader );

            if( pt.x < pt_left->x )
                pt_left = pt_ptr;
            if( pt.x > pt_right->x )
                pt_right = pt_ptr;
            if( pt.y < pt_top->y )
                pt_top = pt_ptr;
            if( pt.y > pt_bottom->y )
                pt_bottom = pt_ptr;
        }

        pts[0] = *pt_left;
        pts[1] = *pt_right;
        pts[2] = *pt_top;
        pts[3] = *pt_bottom;
    }

    for( k = 0; k < max_iters; k++ )
    {
        double min_delta = 0, delta;
        CvPoint2D32f ptfl, farAway = { 0, 0};
        /*only for first iteration because the alg is repared at the loop's foot*/
        if(k==0)
            icvFindEnslosingCicle4pts_32f( pts, &center, &radius );

        cvStartReadSeq( sequence, &reader, 0 );

        for(int i = 0; i < count; i++ )
        {
            if( !is_float )
            {
                ptfl.x = (float)((CvPoint*)reader.ptr)->x;
                ptfl.y = (float)((CvPoint*)reader.ptr)->y;
            }
            else
            {
                ptfl = *(CvPoint2D32f*)reader.ptr;
            }
            CV_NEXT_SEQ_ELEM( sequence->elem_size, reader );

            delta = icvIsPtInCircle( ptfl, center, radius );
            if( delta < min_delta )
            {
                min_delta = delta;
                farAway = ptfl;
            }
        }
        result = min_delta >= 0;
        if( result )
            break;

        CvPoint2D32f ptsCopy[4];
        /* find good replacement partner for the point which is at most far away,
        starting with the one that lays in the actual circle (i=3) */
        for(int i = 3; i >=0; i-- )
        {
            for(int j = 0; j < 4; j++ )
            {
                ptsCopy[j]=(i != j)? pts[j]: farAway;
            }

            icvFindEnslosingCicle4pts_32f(ptsCopy, &center, &radius );
            if( icvIsPtInCircle( pts[i], center, radius )>=0){ // replaced one again in the new circle?
                pts[i] = farAway;
                break;
            }
        }
    }

    if( !result )
    {
        cvStartReadSeq( sequence, &reader, 0 );
        radius = 0.f;

        for(int i = 0; i < count; i++ )
        {
            CvPoint2D32f ptfl;
            float t, dx, dy;

            if( !is_float )
            {
                ptfl.x = (float)((CvPoint*)reader.ptr)->x;
                ptfl.y = (float)((CvPoint*)reader.ptr)->y;
            }
            else
            {
                ptfl = *(CvPoint2D32f*)reader.ptr;
            }

            CV_NEXT_SEQ_ELEM( sequence->elem_size, reader );
            dx = center.x - ptfl.x;
            dy = center.y - ptfl.y;
            t = dx*dx + dy*dy;
            radius = MAX(radius,t);
        }

        radius = (float)(sqrt(radius)*(1 + eps));
        result = 1;
    }

    *_center = center;
    *_radius = radius;

    return result;
}
コード例 #14
0
/* Calculates bounding rectagnle of a point set or retrieves already calculated */
CV_IMPL  CvRect
cvBoundingRect( CvArr* array, int update )
{
    CvSeqReader reader;
    CvRect  rect = { 0, 0, 0, 0 };
    CvContour contour_header;
    CvSeq* ptseq = 0;
    CvSeqBlock block;

    CV_FUNCNAME( "cvBoundingRect" );

    __BEGIN__;

    int calculate = update;

    if( CV_IS_SEQ( array ))
    {
        ptseq = (CvSeq*)array;
        if( !CV_IS_SEQ_POINT_SET( ptseq ))
            CV_ERROR( CV_StsBadArg, "Unsupported sequence type" );

        if( ptseq->header_size < (int)sizeof(CvContour))
        {
            if( update == 1 )
                CV_ERROR( CV_StsBadArg, "The header is too small to fit the rectangle, "
                                        "so it could not be updated" );
            calculate = 1;
        }
    }
    else
    {
        CV_CALL( ptseq = cvPointSeqFromMat(
            CV_SEQ_KIND_GENERIC, array, &contour_header, &block ));
        calculate = 1;
    }

    if( calculate )
    {
        if( ptseq->total )
        {   
            int  is_float = CV_SEQ_ELTYPE(ptseq) == CV_32FC2;
            int  xmin, ymin, xmax, ymax, i;
            cvStartReadSeq( ptseq, &reader, 0 );

            if( !is_float )
            {
                CvPoint pt;
                /* init values */
                CV_READ_SEQ_ELEM( pt, reader );
                xmin = xmax = pt.x;
                ymin = ymax = pt.y;
    
                for( i = 1; i < ptseq->total; i++ )
                {            
                    CV_READ_SEQ_ELEM( pt, reader );
            
                    if( xmin > pt.x )
                        xmin = pt.x;
            
                    if( xmax < pt.x )
                        xmax = pt.x;

                    if( ymin > pt.y )
                        ymin = pt.y;

                    if( ymax < pt.y )
                        ymax = pt.y;
                }
            }
            else
            {
                CvPoint pt;
                /* init values */
                CV_READ_SEQ_ELEM( pt, reader );
                xmin = xmax = CV_TOGGLE_FLT(pt.x);
                ymin = ymax = CV_TOGGLE_FLT(pt.y);
    
                for( i = 1; i < ptseq->total; i++ )
                {            
                    CV_READ_SEQ_ELEM( pt, reader );
                    pt.x = CV_TOGGLE_FLT(pt.x);
                    pt.y = CV_TOGGLE_FLT(pt.y);
            
                    if( xmin > pt.x )
                        xmin = pt.x;
            
                    if( xmax < pt.x )
                        xmax = pt.x;

                    if( ymin > pt.y )
                        ymin = pt.y;

                    if( ymax < pt.y )
                        ymax = pt.y;
                }

                xmin = CV_TOGGLE_FLT(xmin);
                ymin = CV_TOGGLE_FLT(ymin);
                xmax = CV_TOGGLE_FLT(xmax);
                ymax = CV_TOGGLE_FLT(ymax);

                xmin = cvFloor( (float&)xmin );
                ymin = cvFloor( (float&)ymin );
                /* because right and bottom sides of
                   the bounding rectangle are not inclusive,
                   cvFloor is used here (instead of cvCeil) */
                xmax = cvFloor( (float&)xmax );
                ymax = cvFloor( (float&)ymax );
            }

            rect.x = xmin;
            rect.y = ymin;
            rect.width = xmax - xmin + 1;
            rect.height = ymax - ymin + 1;
        }

        if( update )
            ((CvContour*)ptseq)->rect = rect;
    }
    else
    {
        rect = ((CvContour*)ptseq)->rect;
    }

    __END__;

    return rect;
}
コード例 #15
0
ファイル: cvrotcalipers.cpp プロジェクト: 273k/OpenCV-Android
CV_IMPL  CvBox2D
cvMinAreaRect2( const CvArr* array, CvMemStorage* storage )
{
    CvMemStorage* temp_storage = 0;
    CvBox2D box;
    CvPoint2D32f* points = 0;
    
    CV_FUNCNAME( "cvMinAreaRect2" );

    memset(&box, 0, sizeof(box));

    __BEGIN__;

    int i, n;
    CvSeqReader reader;
    CvContour contour_header;
    CvSeqBlock block;
    CvSeq* ptseq = (CvSeq*)array;
    CvPoint2D32f out[3];

    if( CV_IS_SEQ(ptseq) )
    {
        if( !CV_IS_SEQ_POINT_SET(ptseq) &&
            (CV_SEQ_KIND(ptseq) != CV_SEQ_KIND_CURVE || !CV_IS_SEQ_CONVEX(ptseq) ||
            CV_SEQ_ELTYPE(ptseq) != CV_SEQ_ELTYPE_PPOINT ))
            CV_ERROR( CV_StsUnsupportedFormat,
                "Input sequence must consist of 2d points or pointers to 2d points" );
        if( !storage )
            storage = ptseq->storage;
    }
    else
    {
        CV_CALL( ptseq = cvPointSeqFromMat(
            CV_SEQ_KIND_GENERIC, array, &contour_header, &block ));
    }

    if( storage )
    {
        CV_CALL( temp_storage = cvCreateChildMemStorage( storage ));
    }
    else
    {
        CV_CALL( temp_storage = cvCreateMemStorage(1 << 10));
    }

    if( !CV_IS_SEQ_CONVEX( ptseq ))
    {
        CV_CALL( ptseq = cvConvexHull2( ptseq, temp_storage, CV_CLOCKWISE, 1 ));
    }
    else if( !CV_IS_SEQ_POINT_SET( ptseq ))
    {
        CvSeqWriter writer;
        
        if( !CV_IS_SEQ(ptseq->v_prev) || !CV_IS_SEQ_POINT_SET(ptseq->v_prev))
            CV_ERROR( CV_StsBadArg,
            "Convex hull must have valid pointer to point sequence stored in v_prev" );
        cvStartReadSeq( ptseq, &reader );
        cvStartWriteSeq( CV_SEQ_KIND_CURVE|CV_SEQ_FLAG_CONVEX|CV_SEQ_ELTYPE(ptseq->v_prev),
                         sizeof(CvContour), CV_ELEM_SIZE(ptseq->v_prev->flags),
                         temp_storage, &writer );
            
        for( i = 0; i < ptseq->total; i++ )
        {
            CvPoint pt = **(CvPoint**)(reader.ptr);
            CV_WRITE_SEQ_ELEM( pt, writer );
        }

        ptseq = cvEndWriteSeq( &writer );
    }

    n = ptseq->total;

    CV_CALL( points = (CvPoint2D32f*)cvAlloc( n*sizeof(points[0]) ));
    cvStartReadSeq( ptseq, &reader );

    if( CV_SEQ_ELTYPE( ptseq ) == CV_32SC2 )
    {
        for( i = 0; i < n; i++ )
        {
            CvPoint pt;
            CV_READ_SEQ_ELEM( pt, reader );
            points[i].x = (float)pt.x;
            points[i].y = (float)pt.y;
        }
    }
    else
    {
        for( i = 0; i < n; i++ )
        {
            CV_READ_SEQ_ELEM( points[i], reader );
        }
    }
    
    if( n > 2 )
    {
        icvRotatingCalipers( points, n, CV_CALIPERS_MINAREARECT, (float*)out );
        box.center.x = out[0].x + (out[1].x + out[2].x)*0.5f;
        box.center.y = out[0].y + (out[1].y + out[2].y)*0.5f;
        box.size.height = (float)sqrt((double)out[1].x*out[1].x + (double)out[1].y*out[1].y);
        box.size.width = (float)sqrt((double)out[2].x*out[2].x + (double)out[2].y*out[2].y);
        box.angle = (float)atan2( -(double)out[1].y, (double)out[1].x );
    }
    else if( n == 2 )
    {
        box.center.x = (points[0].x + points[1].x)*0.5f;
        box.center.y = (points[0].y + points[1].y)*0.5f;
        double dx = points[1].x - points[0].x;
        double dy = points[1].y - points[0].y;
        box.size.height = (float)sqrt(dx*dx + dy*dy);
        box.size.width = 0;
        box.angle = (float)atan2( -dy, dx );
    }
    else
    {
        if( n == 1 )
            box.center = points[0];
    }

    box.angle = (float)(box.angle*180/CV_PI);

    __END__; 

    cvReleaseMemStorage( &temp_storage );
    cvFree( &points );

    return box;
}
コード例 #16
0
ファイル: cvconvhull.cpp プロジェクト: JackJone/opencv
/* it must have more than 3 points  */
CV_IMPL CvSeq*
cvConvexityDefects( const CvArr* array,
                    const CvArr* hullarray,
                    CvMemStorage* storage )
{
    CvSeq* defects = 0;

    CV_FUNCNAME( "cvConvexityDefects" );

    __BEGIN__;

    int i, index;
    CvPoint* hull_cur;

    /* is orientation of hull different from contour one */
    int rev_orientation;

    CvContour contour_header;
    union { CvContour c; CvSeq s; } hull_header;
    CvSeqBlock block, hullblock;
    CvSeq *ptseq = (CvSeq*)array, *hull = (CvSeq*)hullarray;

    CvSeqReader hull_reader;
    CvSeqReader ptseq_reader;
    CvSeqWriter writer;
    int is_index;

    if( CV_IS_SEQ( ptseq ))
    {
        if( !CV_IS_SEQ_POINT_SET( ptseq ))
            CV_ERROR( CV_StsUnsupportedFormat,
                "Input sequence is not a sequence of points" );
        if( !storage )
            storage = ptseq->storage;
    }
    else
    {
        CV_CALL( ptseq = cvPointSeqFromMat(
            CV_SEQ_KIND_GENERIC, array, &contour_header, &block ));
    }

    if( CV_SEQ_ELTYPE( ptseq ) != CV_32SC2 )
        CV_ERROR( CV_StsUnsupportedFormat,
            "Floating-point coordinates are not supported here" );

    if( CV_IS_SEQ( hull ))
    {
        int hulltype = CV_SEQ_ELTYPE( hull );
        if( hulltype != CV_SEQ_ELTYPE_PPOINT && hulltype != CV_SEQ_ELTYPE_INDEX )
            CV_ERROR( CV_StsUnsupportedFormat,
                "Convex hull must represented as a sequence "
                "of indices or sequence of pointers" );
        if( !storage )
            storage = hull->storage;
    }
    else
    {
        CvMat* mat = (CvMat*)hull;

        if( !CV_IS_MAT( hull ))
            CV_ERROR(CV_StsBadArg, "Convex hull is neither sequence nor matrix");

        if( mat->cols != 1 && mat->rows != 1 ||
            !CV_IS_MAT_CONT(mat->type) || CV_MAT_TYPE(mat->type) != CV_32SC1 )
            CV_ERROR( CV_StsBadArg,
            "The matrix should be 1-dimensional and continuous array of int's" );

        if( mat->cols + mat->rows - 1 > ptseq->total )
            CV_ERROR( CV_StsBadSize, "Convex hull is larger than the point sequence" );

        CV_CALL( hull = cvMakeSeqHeaderForArray(
            CV_SEQ_KIND_CURVE|CV_MAT_TYPE(mat->type)|CV_SEQ_FLAG_CLOSED,
            sizeof(CvContour), CV_ELEM_SIZE(mat->type), mat->data.ptr,
            mat->cols + mat->rows - 1, &hull_header.s, &hullblock ));
    }

    is_index = CV_SEQ_ELTYPE(hull) == CV_SEQ_ELTYPE_INDEX;

    if( !storage )
        CV_ERROR( CV_StsNullPtr, "NULL storage pointer" );

    CV_CALL( defects = cvCreateSeq( CV_SEQ_KIND_GENERIC, sizeof(CvSeq),
                                    sizeof(CvConvexityDefect), storage ));

    if( ptseq->total < 4 || hull->total < 3)
    {
        //CV_ERROR( CV_StsBadSize,
        //    "point seq size must be >= 4, convex hull size must be >= 3" );
        EXIT;
    }

    /* recognize co-orientation of ptseq and its hull */
    {
        int sign = 0;
        int index1, index2, index3;

        if( !is_index )
        {
            CvPoint* pos = *CV_SEQ_ELEM( hull, CvPoint*, 0 );
            CV_CALL( index1 = cvSeqElemIdx( ptseq, pos ));

            pos = *CV_SEQ_ELEM( hull, CvPoint*, 1 );
            CV_CALL( index2 = cvSeqElemIdx( ptseq, pos ));

            pos = *CV_SEQ_ELEM( hull, CvPoint*, 2 );
            CV_CALL( index3 = cvSeqElemIdx( ptseq, pos ));
        }
        else
        {
コード例 #17
0
ファイル: opticaltri.cpp プロジェクト: ryanfb/homer
int main(int argc, char * argv[])
{
	if(argc < 2) {
		fprintf(stderr, "%s image1 image2\n", argv[0]);
		return 1;
	}

	char * im1fname = argv[1];
	char * im2fname = argv[2];

	IplImage * image1 = cvLoadImage(im1fname, CV_LOAD_IMAGE_GRAYSCALE);

	IplImage * eigenvalues = cvCreateImage(cvGetSize(image1), 32, 1);
	IplImage * temp = cvCreateImage(cvGetSize(image1), 32, 1);

	int count = MAX_COUNT;
	double quality = 0.5;
	// double min_distance = 2;
	double min_distance = 50;
	int block_size = 7;
	int use_harris = 0;
	int win_size = 10;
	int flags = 0;

	CvPoint2D32f * source_points = (CvPoint2D32f*)cvAlloc(MAX_COUNT*sizeof(CvPoint2D32f));
	CvPoint2D32f * dest_points = (CvPoint2D32f*)cvAlloc(MAX_COUNT*sizeof(CvPoint2D32f));
	CvPoint2D32f * delaunay_points = (CvPoint2D32f*)cvAlloc(MAX_COUNT*sizeof(CvPoint2D32f));

	cvGoodFeaturesToTrack( image1, eigenvalues, temp, source_points, &count,
			quality, min_distance, 0, block_size, use_harris, 0.04 );

	printf("%d features\n",count);

	setbuf(stdout, NULL);

	printf("Finding corner subpix...");
	cvFindCornerSubPix( image1, source_points, count,
			cvSize(win_size,win_size), cvSize(-1,-1),
			cvTermCriteria(CV_TERMCRIT_ITER|CV_TERMCRIT_EPS, 20, 0.03));
	printf("done.\n");

	cvReleaseImage(&eigenvalues);
	cvReleaseImage(&temp);

	IplImage * image2 = cvLoadImage(im2fname, CV_LOAD_IMAGE_GRAYSCALE);

	char * status = (char*)cvAlloc(sizeof(char)*MAX_COUNT);

	IplImage * pyramid = cvCreateImage( cvGetSize(image1), IPL_DEPTH_8U, 1 );
	IplImage * second_pyramid = cvCreateImage( cvGetSize(image2), IPL_DEPTH_8U, 1 );

	printf("Computing optical flow...");	
	cvCalcOpticalFlowPyrLK(image1, image2, pyramid, second_pyramid, source_points,
		dest_points, count, cvSize(win_size,win_size), 4, status, 0,
		cvTermCriteria(CV_TERMCRIT_ITER|CV_TERMCRIT_EPS, 20, 0.03),
		flags);
	printf("done.\n");

	int num_matches = 0;
	int num_out_matches = 0;
	int max_dist = 30;
	int offset = 200;
	
	CvMemStorage * storage = cvCreateMemStorage(0);
	CvSubdiv2D * delaunay = cvCreateSubdivDelaunay2D( cvRect(0,0,image1->width,image1->height), storage);

	cvReleaseImage(&image1);
	cvReleaseImage(&image2);
	
	image1 = cvLoadImage(im1fname, CV_LOAD_IMAGE_COLOR);
	image2 = cvLoadImage(im2fname, CV_LOAD_IMAGE_COLOR);

	cvSet( image1, cvScalarAll(255) );

	std::map<CvPoint, CvPoint> point_lookup_map;
	std::vector<std::pair<CvPoint, CvPoint> > point_lookup;

	// put corners in the point lookup as going to themselves
	point_lookup_map[cvPoint(0,0)] = cvPoint(0,0);
	point_lookup_map[cvPoint(0,image1->height-1)] = cvPoint(0,image1->height-1);
	point_lookup_map[cvPoint(image1->width-1,0)] = cvPoint(image1->width-1,0);
	point_lookup_map[cvPoint(image1->width-1,image1->height-1)] = cvPoint(image1->width-1,image1->height-1);

	point_lookup.push_back(std::pair<CvPoint,CvPoint>(cvPoint(0,0), cvPoint(0,0)));
	point_lookup.push_back(std::pair<CvPoint,CvPoint>(cvPoint(0,image1->height-1), cvPoint(0,image1->height-1)));
	point_lookup.push_back(std::pair<CvPoint,CvPoint>(cvPoint(image1->width-1,0), cvPoint(image1->width-1,0)));
	point_lookup.push_back(std::pair<CvPoint,CvPoint>(cvPoint(image1->width-1,image1->height-1), cvPoint(image1->width-1,image1->height-1)));

	printf("Inserting corners...");
	// put corners in the Delaunay subdivision
	for(unsigned int i = 0; i < point_lookup.size(); i++) {
		cvSubdivDelaunay2DInsert( delaunay, cvPointTo32f(point_lookup[i].first) );
	}
	printf("done.\n");

	CvSubdiv2DEdge proxy_edge;
	for(int i = 0; i < count; i++) {
		if(status[i]) {
			CvPoint source = cvPointFrom32f(source_points[i]);
			CvPoint dest = cvPointFrom32f(dest_points[i]);
	
			if((((int)fabs((double)(source.x - dest.x))) > max_dist) ||
				 (((int)fabs((double)(source.y - dest.y))) > max_dist)) {	
				num_out_matches++;
			}
			else if((dest.x >= 0) && (dest.y >= 0) && (dest.x < (image1->width)) && (dest.y < (image1->height))) {
				if(point_lookup_map.find(source) == point_lookup_map.end()) {
					num_matches++;
				
					point_lookup_map[source] = dest;
					point_lookup.push_back(std::pair<CvPoint,CvPoint>(source,dest));
					delaunay_points[i] = (cvSubdivDelaunay2DInsert( delaunay, cvPointTo32f(source) ))->pt;
					cvSetImageROI( image1, cvRect(source.x-8,source.y-8,8*2,8*2) );
					cvResetImageROI( image2 );
					cvGetRectSubPix( image2, image1, dest_points[i] );
				}
				/*
				cvSet2D( image1, source.y, source.x, cvGet2D( image2, dest.y, dest.x ) );
				cvSet2D( image1, source.y, source.x+1, cvGet2D( image2, dest.y, dest.x+1 ) );
				cvSet2D( image1, source.y, source.x-1, cvGet2D( image2, dest.y, dest.x-1 ) );
				cvSet2D( image1, source.y+1, source.x, cvGet2D( image2, dest.y+1, dest.x ) );
				cvSet2D( image1, source.y-1, source.x, cvGet2D( image2, dest.y-1, dest.x ) );
				cvSet2D( image1, source.y+1, source.x+1, cvGet2D( image2, dest.y+1, dest.x+1 ) );
				cvSet2D( image1, source.y-1, source.x-1, cvGet2D( image2, dest.y-1, dest.x-1 ) );
				cvSet2D( image1, source.y+1, source.x-1, cvGet2D( image2, dest.y+1, dest.x-1 ) );
				cvSet2D( image1, source.y-1, source.x+1, cvGet2D( image2, dest.y-1, dest.x+1 ) );
				*/

				// cvCircle( image1, source, 4, CV_RGB(255,0,0), 2, CV_AA );
				// cvCircle( image2, dest, 4, CV_RGB(255,0,0), 2, CV_AA );
			}

			/*
			cvSetImageROI( image1, cvRect(source.x-offset,source.y-offset,offset*2,offset*2) );
			cvSetImageROI( image2, cvRect(dest.x-offset,dest.y-offset,offset*2,offset*2) );
			cvNamedWindow("image1",0);
			cvNamedWindow("image2",0);
			cvShowImage("image1",image1);
			cvShowImage("image2",image2);
			printf("%d,%d -> %d,%d\n",source.x,source.y,dest.x,dest.y);
			cvWaitKey(0);
			cvDestroyAllWindows();
			*/
		}
	}
	printf("%d %d\n",num_matches,num_out_matches);
	printf("%d lookups\n",point_lookup_map.size());

	cvResetImageROI( image1 );

	cvSaveImage("sparse.jpg", image1);

	cvReleaseImage(&image1);
	image1 = cvLoadImage(im1fname, CV_LOAD_IMAGE_COLOR);
	cvSet( image1, cvScalarAll(255) );
	printf("Warping image...");

	CvSeqReader  reader;
	int total = delaunay->edges->total;
	int elem_size = delaunay->edges->elem_size;

	cvStartReadSeq( (CvSeq*)(delaunay->edges), &reader, 0 );

	std::vector<Triangle> trivec;
	std::vector<CvMat *> baryinvvec;

	for( int i = 0; i < total; i++ ) {
		CvQuadEdge2D* edge = (CvQuadEdge2D*)(reader.ptr);

		if( CV_IS_SET_ELEM( edge ))	{
			CvSubdiv2DEdge curedge = (CvSubdiv2DEdge)edge;
			CvSubdiv2DEdge t = curedge;
			Triangle temptri;
			int count = 0;
			
			// construct a triangle from this edge
			do {
				CvSubdiv2DPoint* pt = cvSubdiv2DEdgeOrg( t );
				if(count < 3) {
					pt->pt.x = pt->pt.x >= image1->width ? image1->width-1 : pt->pt.x;
					pt->pt.y = pt->pt.y >= image1->height ? image1->height-1 : pt->pt.y;
					pt->pt.x = pt->pt.x < 0 ? 0 : pt->pt.x;
					pt->pt.y = pt->pt.y < 0 ? 0 : pt->pt.y;

					temptri.points[count] = cvPointFrom32f( pt->pt );
				}
				else {
					printf("More than 3 edges\n");
				}
				count++;
				t = cvSubdiv2DGetEdge( t, CV_NEXT_AROUND_LEFT );
			} while( t != curedge );
			
			// check that triangle is not already in
			if( std::find(trivec.begin(), trivec.end(), temptri) == trivec.end() ) {
				// push triangle in and draw
				trivec.push_back(temptri);
				cvLine( image1, temptri.points[0], temptri.points[1], CV_RGB(255,0,0), 1, CV_AA, 0 );
				cvLine( image1, temptri.points[1], temptri.points[2], CV_RGB(255,0,0), 1, CV_AA, 0 );
				cvLine( image1, temptri.points[2], temptri.points[0], CV_RGB(255,0,0), 1, CV_AA, 0 );

				// compute barycentric computation vector for this triangle
				CvMat * barycen = cvCreateMat( 3, 3, CV_32FC1 );
				CvMat * baryceninv = cvCreateMat( 3, 3, CV_32FC1 );

				barycen->data.fl[3*0+0] = temptri.points[0].x;
				barycen->data.fl[3*0+1] = temptri.points[1].x;
				barycen->data.fl[3*0+2] = temptri.points[2].x;
				barycen->data.fl[3*1+0] = temptri.points[0].y;
				barycen->data.fl[3*1+1] = temptri.points[1].y;
				barycen->data.fl[3*1+2] = temptri.points[2].y;
				barycen->data.fl[3*2+0] = 1;
				barycen->data.fl[3*2+1] = 1;
				barycen->data.fl[3*2+2] = 1;

				cvInvert( barycen, baryceninv, CV_LU );
				baryinvvec.push_back(baryceninv);

				cvReleaseMat( &barycen );
			}
		}

		CV_NEXT_SEQ_ELEM( elem_size, reader );
	}
	printf("%d triangles...", trivec.size());
	cvSaveImage("triangles.jpg", image1);
	
	cvSet( image1, cvScalarAll(255) );
	IplImage * clean_nonthresh = cvLoadImage( "conhull-clean.jpg", CV_LOAD_IMAGE_COLOR );

	// for each triangle
	for(unsigned int i = 0; i < trivec.size(); i++) {
		Triangle curtri = trivec[i];
		CvMat * curpoints = cvCreateMat( 1, 3, CV_32SC2 );
		Triangle target;
		std::map<CvPoint,CvPoint>::iterator piter[3];
		
		printf("Triangle %d / %d\n",i,trivec.size());
		bool is_corner = false;
		for(int j = 0; j < 3; j++) {
			/*
			curpoints->data.i[2*j+0] = curtri.points[j].x;
			curpoints->data.i[2*j+1] = curtri.points[j].y;
			*/
			CV_MAT_ELEM( *curpoints, CvPoint, 0, j ) = curtri.points[j];
			printf("%d,%d\n",curtri.points[j].x,curtri.points[j].y);
	
			/*	
			if((curtri.points[j] == cvPoint(0,0)) ||  (curtri.points[j] == cvPoint(0,image1->height)) ||(curtri.points[j] == cvPoint(image1->width,0)) ||(curtri.points[j] == cvPoint(image1->width,image1->height))) {
				is_corner = true;
				break;
			}
			*/

			for(unsigned int k = 0; k < point_lookup.size(); k++) {
				std::pair<CvPoint,CvPoint> thispair = point_lookup[k];
				if(thispair.first == curtri.points[j]) {
					target.points[j] = thispair.second;
					break;
				}
			}

			/*
			piter[j] = point_lookup_map.find(curtri.points[j]);
			if(piter[j] != point_lookup_map.end() ) {
				target.points[j] = piter[j]->second;
			}
			*/
		}
			
		// if((piter[0] != point_lookup_map.end()) && (piter[1] != point_lookup_map.end()) && (piter[2] != point_lookup_map.end())) {
		if(!is_corner) {
			CvMat * newcorners = cvCreateMat( 3, 3, CV_32FC1 );
			newcorners->data.fl[3*0+0] = target.points[0].x;
			newcorners->data.fl[3*0+1] = target.points[1].x;
			newcorners->data.fl[3*0+2] = target.points[2].x;
			newcorners->data.fl[3*1+0] = target.points[0].y;
			newcorners->data.fl[3*1+1] = target.points[1].y;
			newcorners->data.fl[3*1+2] = target.points[2].y;
			newcorners->data.fl[3*2+0] = 1;
			newcorners->data.fl[3*2+1] = 1;
			newcorners->data.fl[3*2+2] = 1;

			CvContour hdr;
			CvSeqBlock blk;
			CvRect trianglebound = cvBoundingRect( cvPointSeqFromMat(CV_SEQ_KIND_CURVE+CV_SEQ_FLAG_CLOSED, curpoints, &hdr, &blk), 1 );
			printf("Bounding box: %d,%d,%d,%d\n",trianglebound.x,trianglebound.y,trianglebound.width,trianglebound.height);
			for(int y = trianglebound.y; (y < (trianglebound.y + trianglebound.height)) && ( y < image1->height); y++) {
				for(int x = trianglebound.x; (x < (trianglebound.x + trianglebound.width)) && (x < image1->width); x++) {
					// check to see if we're inside this triangle
					/*
					CvPoint v0 = cvPoint( curtri.points[2].x - curtri.points[0].x, curtri.points[2].y - curtri.points[0].y );
					CvPoint v1 = cvPoint( curtri.points[1].x - curtri.points[0].x, curtri.points[1].y - curtri.points[0].y );
					CvPoint v2 = cvPoint( x - curtri.points[0].x, y - curtri.points[0].y );
					
					int dot00 = v0.x * v0.x + v0.y * v0. y;
					int dot01 = v0.x * v1.x + v0.y * v1. y;
					int dot02 = v0.x * v2.x + v0.y * v2. y;
					int dot11 = v1.x * v1.x + v1.y * v1. y;
					int dot12 = v1.x * v2.x + v1.y * v2. y;

					double invDenom = 1.0 / (double)(dot00 * dot11 - dot01 * dot01);
					double u = (double)(dot11 * dot02 - dot01 * dot12) * invDenom;
					double v = (double)(dot00 * dot12 - dot01 * dot02) * invDenom;
					*/

					CvMat * curp = cvCreateMat(3, 1, CV_32FC1);
					CvMat * result = cvCreateMat(3, 1, CV_32FC1);
					curp->data.fl[0] = x;
					curp->data.fl[1] = y;
					curp->data.fl[2] = 1;
					cvMatMul( baryinvvec[i], curp, result );
					// double u = result->data.fl[0]/result->data.fl[2];
					// double v = result->data.fl[1]/result->data.fl[2];
			

					if( (result->data.fl[0] > 0) && (result->data.fl[1] > 0) && (fabs(1.0 - (result->data.fl[0]+result->data.fl[1]+result->data.fl[2])) <= 0.01) ) {
					// if((u > 0) || (v > 0) /*&& ((u +v) < 1)*/ ) {
						// printf("Barycentric: %f %f %f\n", result->data.fl[0], result->data.fl[1], result->data.fl[2]);
						// this point is inside this triangle
						// printf("Point %d,%d inside %d,%d %d,%d %d,%d\n",x,y,trivec[i].points[0].x,trivec[i].points[0].y,
						//	trivec[i].points[1].x,trivec[i].points[1].y,trivec[i].points[2].x,trivec[i].points[2].y);

						CvMat * sourcepoint = cvCreateMat(3, 1, CV_32FC1);
						cvMatMul( newcorners, result, sourcepoint );
						double sourcex = sourcepoint->data.fl[0]/*/sourcepoint->data.fl[2]*/;
						double sourcey = sourcepoint->data.fl[1]/*/sourcepoint->data.fl[2]*/;
						if((sourcex >= 0) && (sourcey >= 0) && (sourcex < (image1->width)) && (sourcey < (image1->height))) {
							// printf("%d,%d %d,%d\n",x,y,(int)sourcex,(int)sourcey);
							cvSet2D( image1, y, x, cvGet2D( clean_nonthresh, (int)sourcey, (int)sourcex ) );
						}
	
						/*
						if((i == 143) && (y == 3577) && (x > 2055) && (x < 2087)) {
							printf("%d: %f, %f, %f\t%f, %f, %f\n",x,result->data.fl[0],result->data.fl[1],result->data.fl[2],
									sourcepoint->data.fl[0],sourcepoint->data.fl[1],sourcepoint->data.fl[2]);
						}
						*/
	
						cvReleaseMat( &sourcepoint );
						
						// printf("Point %d,%d inside %d,%d %d,%d %d,%d\n",x,y,trivec[i].points[0].x,trivec[i].points[0].y,
						//		trivec[i].points[1].x,trivec[i].points[1].y,trivec[i].points[2].x,trivec[i].points[2].y);

					}
					cvReleaseMat( &result );
					cvReleaseMat( &curp );
				}
			}
			cvReleaseMat( &newcorners );
		}
		cvReleaseMat( &curpoints );
	}
	/*
	for(int y = 0; y < image1->height; y++) {
		for(int x = 0; x < image1->width; x++) {
			CvMat * curp = cvCreateMat(3, 1, CV_32FC1);
			CvMat * result = cvCreateMat(3, 1, CV_32FC1);
			curp->data.fl[0] = x;
			curp->data.fl[1] = y;
			curp->data.fl[2] = 1;
			for(unsigned int i = 0; i < baryinvvec.size(); i++) {
				cvMatMul( baryinvvec[i], curp, result );
				double u = result->data.fl[0]/result->data.fl[2];
				double v = result->data.fl[1]/result->data.fl[2];
				if((u > 0) && (v > 0) && (u + v < 1)) {
					// printf("Point %d,%d inside %d,%d %d,%d %d,%d\n",x,y,trivec[i].points[0].x,trivec[i].points[0].y,
					//		trivec[i].points[1].x,trivec[i].points[1].y,trivec[i].points[2].x,trivec[i].points[2].y);

					break;
				}
			}
			cvReleaseMat( &result );
			cvReleaseMat( &curp );
		}
	}
	*/

	cvReleaseImage( &clean_nonthresh );

#ifdef OLD_BUSTED
	for(int y = 0; y < image1->height; y++) {
		for(int x = 0; x < image1->width; x++) {
			CvSubdiv2DPointLocation locate_result;
			CvSubdiv2DEdge on_edge;
			CvSubdiv2DPoint * on_vertex;
			CvPoint curpoint = cvPoint( x, y );
			locate_result = cvSubdiv2DLocate( delaunay, cvPointTo32f( curpoint ),
				&on_edge, &on_vertex );
			if( (locate_result != CV_PTLOC_OUTSIDE_RECT) && (locate_result != CV_PTLOC_ERROR) ) {
				if( locate_result == CV_PTLOC_VERTEX ) { // this point is on a vertex
					for(int i = 0; i < count; i++) {
						if(((on_vertex->pt).x == delaunay_points[i].x) && ((on_vertex->pt).y == delaunay_points[i].y)) {
							cvSet2D( image1, y, x, cvGet2D( image2, cvPointFrom32f(dest_points[i]).y, cvPointFrom32f(dest_points[i]).x ) );
							break;
						}
					}
				}
				else if( locate_result == CV_PTLOC_ON_EDGE ) { // this point is on an edge
					CvSubdiv2DPoint* org_pt;
					CvSubdiv2DPoint* dst_pt;
					CvPoint org_pt_warp;
					CvPoint dst_pt_warp;
						
					org_pt = cvSubdiv2DEdgeOrg(on_edge);
					dst_pt = cvSubdiv2DEdgeDst(on_edge);

					for(int i = 0; i < count; i++) {
						if(((org_pt->pt).x == delaunay_points[i].x) && ((org_pt->pt).y == delaunay_points[i].y)) {
							org_pt_warp = cvPointFrom32f(dest_points[i]);
						}
						if(((dst_pt->pt).x == delaunay_points[i].x) && ((dst_pt->pt).y == delaunay_points[i].y)) {
							dst_pt_warp = cvPointFrom32f(dest_points[i]);
						}
					}

					// compute vector length of original edge and current point
					double original_length;
					double cur_length; 
					if( (int)((org_pt->pt).x) == curpoint.x ) { // vertical line
						original_length = fabs((org_pt->pt).y - (dst_pt->pt).y);
						cur_length = fabs((org_pt->pt).y - curpoint.y);
					}
					else if( (int)((org_pt->pt).y) == curpoint.y ) { // horizontal line
						original_length = fabs((org_pt->pt).x - (dst_pt->pt).x);
						cur_length = fabs((org_pt->pt).x - curpoint.x);
					}
					else { // sloped line
				 		original_length = sqrt(pow((org_pt->pt).x - (dst_pt->pt).x, 2.0) + pow((org_pt->pt).y - (dst_pt->pt).y, 2.0));
						cur_length = sqrt(pow((org_pt->pt).x - curpoint.x, 2.0) + pow((org_pt->pt).y - curpoint.y, 2.0));
					}
					// compute ratio of this point on the edge
					double ratio = cur_length / original_length;
					// copy this point from the destination edge
					CvPoint point_in_original;
					int warped_x = (int)(org_pt_warp.x - dst_pt_warp.x);
					int warped_y = (int)(org_pt_warp.y - dst_pt_warp.y);
					if( org_pt_warp.x == curpoint.x ) { // vertical line
						point_in_original.y = (int)(org_pt_warp.y + (ratio * (org_pt_warp.y - dst_pt_warp.y)));
						point_in_original.x = org_pt_warp.x;
					}
					else if(org_pt_warp.y == curpoint.y) { // horizontal line
						point_in_original.x = (int)(org_pt_warp.x + (ratio * (org_pt_warp.x - dst_pt_warp.x)));
						point_in_original.y = org_pt_warp.y;
					}
					else { // sloped line
						double destination_length = sqrt(pow((org_pt_warp).x - (dst_pt_warp).x, 2.0) + pow((org_pt_warp).y - (dst_pt_warp).y, 2.0));
						double scaled_length = ratio * destination_length;
						double dest_angle = atan(fabs( (double)warped_y / (double)warped_x ));
						double xdist = scaled_length * cos(dest_angle);
						double ydist = scaled_length * sin(dest_angle);
						xdist = warped_x > 0 ? xdist : xdist * -1;
						ydist = warped_y > 0 ? ydist : ydist * -1;
						point_in_original.x = (int)( org_pt_warp.x + xdist);
						point_in_original.y = (int)( org_pt_warp.y + ydist);
					}
					
					if((point_in_original.x >= 0) && (point_in_original.y >= 0) && (point_in_original.x < (image1->width)) && (point_in_original.y < (image1->height))) {
						cvSet2D( image1, y, x, cvGet2D( image2, point_in_original.y, point_in_original.x ) );
					}
					else {
						printf("Edge point outside image\n");
					}
					// cvSet2D( image1, y, x, cvGet2D( image2, (int)(org_pt_warp.x + (ratio * (org_pt_warp.x - dst_pt_warp.x))), 
					//			(int)(org_pt_warp.y + (ratio * (org_pt_warp.y - dst_pt_warp.y))) ) );
				}
				else if( locate_result == CV_PTLOC_INSIDE ) { // this point is inside a facet (triangle)
					/*
					printf("Point inside facet: %d, %d\n",curpoint.x,curpoint.y);
					int count = 0;
					CvPoint * origins = (CvPoint*)malloc(sizeof(CvPoint)*3);
					CvSubdiv2DEdge t = on_edge;
					// count number of edges
					do {
						CvSubdiv2DPoint* pt = cvSubdiv2DEdgeOrg( t );
						if(count < 3) {
							origins[count] = cvPoint( cvRound(pt->pt.x), cvRound(pt->pt.y));
							printf("%d,%d\t",origins[count].x,origins[count].y);
						}
						count++;
						t = cvSubdiv2DGetEdge( t, CV_NEXT_AROUND_LEFT );
					} while(t != on_edge);
					printf("\n");

					free(origins);
					*/
				}
			}
		}
	}
#endif // OLD_BUSTED
	printf("done.\n");

	cvSaveImage("fullwarp.jpg", image1);

	printf("Drawing subdivisions on warped image...");
	draw_subdiv( image1, delaunay, NULL, NULL, 0, NULL );
	// draw_subdiv( image1, delaunay, delaunay_points, source_points, count, status );
	printf("done.\n");
	
	cvSaveImage("edgeswarp.jpg", image1);

	cvReleaseImage(&image2);

	image2 = cvLoadImage(im2fname, CV_LOAD_IMAGE_COLOR);
	// cvCreateImage( cvGetSize(image2), IPL_DEPTH_8U, 3 );

	// cvCalcSubdivVoronoi2D( delaunay );
	printf("Drawing subdivisions on unwarped image...");
	draw_subdiv( image2, delaunay, delaunay_points, dest_points, count, status );
	// draw_subdiv( image2, delaunay, NULL, NULL, 0, NULL );
	printf("done.\n");

	cvSaveImage("edges.jpg",image2);

	cvReleaseImage(&image1);
	cvFree(&source_points);
	cvFree(&dest_points);
	cvFree(&status);
	cvReleaseMemStorage(&storage);
	cvFree(&delaunay_points);

	cvReleaseImage(&image2);

	return 0;
}
コード例 #18
0
ファイル: shapedescr.cpp プロジェクト: 4auka/opencv
/* calculates length of a curve (e.g. contour perimeter) */
CV_IMPL  double
cvArcLength( const void *array, CvSlice slice, int is_closed )
{
    double perimeter = 0;

    int i, j = 0, count;
    const int N = 16;
    float buf[N];
    CvMat buffer = cvMat( 1, N, CV_32F, buf );
    CvSeqReader reader;
    CvContour contour_header;
    CvSeq* contour = 0;
    CvSeqBlock block;

    if( CV_IS_SEQ( array ))
    {
        contour = (CvSeq*)array;
        if( !CV_IS_SEQ_POLYLINE( contour ))
            CV_Error( CV_StsBadArg, "Unsupported sequence type" );
        if( is_closed < 0 )
            is_closed = CV_IS_SEQ_CLOSED( contour );
    }
    else
    {
        is_closed = is_closed > 0;
        contour = cvPointSeqFromMat(
                                    CV_SEQ_KIND_CURVE | (is_closed ? CV_SEQ_FLAG_CLOSED : 0),
                                    array, &contour_header, &block );
    }

    if( contour->total > 1 )
    {
        int is_float = CV_SEQ_ELTYPE( contour ) == CV_32FC2;

        cvStartReadSeq( contour, &reader, 0 );
        cvSetSeqReaderPos( &reader, slice.start_index );
        count = cvSliceLength( slice, contour );

        count -= !is_closed && count == contour->total;

        // scroll the reader by 1 point
        reader.prev_elem = reader.ptr;
        CV_NEXT_SEQ_ELEM( sizeof(CvPoint), reader );

        for( i = 0; i < count; i++ )
        {
            float dx, dy;

            if( !is_float )
            {
                CvPoint* pt = (CvPoint*)reader.ptr;
                CvPoint* prev_pt = (CvPoint*)reader.prev_elem;

                dx = (float)pt->x - (float)prev_pt->x;
                dy = (float)pt->y - (float)prev_pt->y;
            }
            else
            {
                CvPoint2D32f* pt = (CvPoint2D32f*)reader.ptr;
                CvPoint2D32f* prev_pt = (CvPoint2D32f*)reader.prev_elem;

                dx = pt->x - prev_pt->x;
                dy = pt->y - prev_pt->y;
            }

            reader.prev_elem = reader.ptr;
            CV_NEXT_SEQ_ELEM( contour->elem_size, reader );
            // Bugfix by Axel at rubico.com 2010-03-22, affects closed slices only
            // wraparound not handled by CV_NEXT_SEQ_ELEM
            if( is_closed && i == count - 2 )
                cvSetSeqReaderPos( &reader, slice.start_index );

            buffer.data.fl[j] = dx * dx + dy * dy;
            if( ++j == N || i == count - 1 )
            {
                buffer.cols = j;
                cvPow( &buffer, &buffer, 0.5 );
                for( ; j > 0; j-- )
                    perimeter += buffer.data.fl[j-1];
            }
        }
    }

    return perimeter;
}
コード例 #19
0
ファイル: rotcalipers.cpp プロジェクト: 09beezahmad/opencv
CV_IMPL  CvBox2D
cvMinAreaRect2( const CvArr* array, CvMemStorage* storage )
{
    cv::Ptr<CvMemStorage> temp_storage;
    CvBox2D box;
    cv::AutoBuffer<CvPoint2D32f> _points;
    CvPoint2D32f* points;

    memset(&box, 0, sizeof(box));

    int i, n;
    CvSeqReader reader;
    CvContour contour_header;
    CvSeqBlock block;
    CvSeq* ptseq = (CvSeq*)array;
    CvPoint2D32f out[3];

    if( CV_IS_SEQ(ptseq) )
    {
        if( !CV_IS_SEQ_POINT_SET(ptseq) &&
            (CV_SEQ_KIND(ptseq) != CV_SEQ_KIND_CURVE ||
            CV_SEQ_ELTYPE(ptseq) != CV_SEQ_ELTYPE_PPOINT ))
            CV_Error( CV_StsUnsupportedFormat,
                "Input sequence must consist of 2d points or pointers to 2d points" );
        if( !storage )
            storage = ptseq->storage;
    }
    else
    {
        ptseq = cvPointSeqFromMat( CV_SEQ_KIND_GENERIC, array, &contour_header, &block );
    }

    if( storage )
    {
        temp_storage = cvCreateChildMemStorage( storage );
    }
    else
    {
        temp_storage = cvCreateMemStorage(1 << 10);
    }

    ptseq = cvConvexHull2( ptseq, temp_storage, CV_CLOCKWISE, 1 );
    n = ptseq->total;

    _points.allocate(n);
    points = _points;
    cvStartReadSeq( ptseq, &reader );

    if( CV_SEQ_ELTYPE( ptseq ) == CV_32SC2 )
    {
        for( i = 0; i < n; i++ )
        {
            CvPoint pt;
            CV_READ_SEQ_ELEM( pt, reader );
            points[i].x = (float)pt.x;
            points[i].y = (float)pt.y;
        }
    }
    else
    {
        for( i = 0; i < n; i++ )
        {
            CV_READ_SEQ_ELEM( points[i], reader );
        }
    }

    if( n > 2 )
    {
        icvRotatingCalipers( points, n, CV_CALIPERS_MINAREARECT, (float*)out );
        box.center.x = out[0].x + (out[1].x + out[2].x)*0.5f;
        box.center.y = out[0].y + (out[1].y + out[2].y)*0.5f;
        box.size.width = (float)sqrt((double)out[1].x*out[1].x + (double)out[1].y*out[1].y);
        box.size.height = (float)sqrt((double)out[2].x*out[2].x + (double)out[2].y*out[2].y);
        box.angle = (float)atan2( (double)out[1].y, (double)out[1].x );
    }
    else if( n == 2 )
    {
        box.center.x = (points[0].x + points[1].x)*0.5f;
        box.center.y = (points[0].y + points[1].y)*0.5f;
        double dx = points[1].x - points[0].x;
        double dy = points[1].y - points[0].y;
        box.size.width = (float)sqrt(dx*dx + dy*dy);
        box.size.height = 0;
        box.angle = (float)atan2( dy, dx );
    }
    else
    {
        if( n == 1 )
            box.center = points[0];
    }

    box.angle = (float)(box.angle*180/CV_PI);
    return box;
}
コード例 #20
0
ファイル: opticaltri.cpp プロジェクト: ryanfb/homer
int opticaltri( CvMat * &clean_texture, int verts )
{
	char * im1fname = "conhull-dirty-thresh.jpg";
	char * im2fname = "conhull-clean-thresh.jpg";

	int count = MAX_COUNT;
	char * status;
	
	CvPoint2D32f * source_points;
	CvPoint2D32f * dest_points;
	CvPoint2D32f * delaunay_points = (CvPoint2D32f*)cvAlloc(MAX_COUNT*sizeof(CvPoint2D32f));

	// count = opticalflow( im1fname, im2fname, source_points, dest_points, status ); 
	count = findsiftpoints( "conhull-dirty.jpg", "conhull-clean.jpg", source_points, dest_points, status ); 

	IplImage * image1 = cvLoadImage(im1fname, CV_LOAD_IMAGE_COLOR);

	CvMemStorage * storage = cvCreateMemStorage(0);
	CvSubdiv2D * delaunay = cvCreateSubdivDelaunay2D( cvRect(0,0,image1->width,image1->height), storage);

	IplImage * image2 = cvLoadImage(im2fname, CV_LOAD_IMAGE_COLOR);

	cvSet( image1, cvScalarAll(255) );

	std::map<CvPoint, CvPoint> point_lookup_map;
	std::vector<std::pair<CvPoint, CvPoint> > point_lookup;

	int num_matches = 0;
	int num_out_matches = 0;
	int max_dist = 50;
	int offset = 200;	

	// put corners in the point lookup as going to themselves
	point_lookup_map[cvPoint(0,0)] = cvPoint(0,0);
	point_lookup_map[cvPoint(0,image1->height-1)] = cvPoint(0,image1->height-1);
	point_lookup_map[cvPoint(image1->width-1,0)] = cvPoint(image1->width-1,0);
	point_lookup_map[cvPoint(image1->width-1,image1->height-1)] = cvPoint(image1->width-1,image1->height-1);

	point_lookup.push_back(std::pair<CvPoint,CvPoint>(cvPoint(0,0), cvPoint(0,0)));
	point_lookup.push_back(std::pair<CvPoint,CvPoint>(cvPoint(0,image1->height-1), cvPoint(0,image1->height-1)));
	point_lookup.push_back(std::pair<CvPoint,CvPoint>(cvPoint(image1->width-1,0), cvPoint(image1->width-1,0)));
	point_lookup.push_back(std::pair<CvPoint,CvPoint>(cvPoint(image1->width-1,image1->height-1), cvPoint(image1->width-1,image1->height-1)));

	printf("Inserting corners...");
	// put corners in the Delaunay subdivision
	for(unsigned int i = 0; i < point_lookup.size(); i++) {
		cvSubdivDelaunay2DInsert( delaunay, cvPointTo32f(point_lookup[i].first) );
	}
	printf("done.\n");

	CvSubdiv2DEdge proxy_edge;
	for(int i = 0; i < count; i++) {
		if(status[i]) {
			CvPoint source = cvPointFrom32f(source_points[i]);
			CvPoint dest = cvPointFrom32f(dest_points[i]);
	
			if((((int)fabs((double)(source.x - dest.x))) > max_dist) ||
				 (((int)fabs((double)(source.y - dest.y))) > max_dist)) {	
				num_out_matches++;
			}
			else if((dest.x >= 0) && (dest.y >= 0) && (dest.x < (image1->width)) && (dest.y < (image1->height))) {
				if(point_lookup_map.find(source) == point_lookup_map.end()) {
					num_matches++;
				
					point_lookup_map[source] = dest;
					point_lookup.push_back(std::pair<CvPoint,CvPoint>(source,dest));
					// delaunay_points[i] = 
					(cvSubdivDelaunay2DInsert( delaunay, cvPointTo32f(source) ))->pt;
					cvSetImageROI( image1, cvRect(source.x-8,source.y-8,8*2,8*2) );
					cvResetImageROI( image2 );
					cvGetRectSubPix( image2, image1, dest_points[i] );
				}
				/*
				cvSet2D( image1, source.y, source.x, cvGet2D( image2, dest.y, dest.x ) );
				cvSet2D( image1, source.y, source.x+1, cvGet2D( image2, dest.y, dest.x+1 ) );
				cvSet2D( image1, source.y, source.x-1, cvGet2D( image2, dest.y, dest.x-1 ) );
				cvSet2D( image1, source.y+1, source.x, cvGet2D( image2, dest.y+1, dest.x ) );
				cvSet2D( image1, source.y-1, source.x, cvGet2D( image2, dest.y-1, dest.x ) );
				cvSet2D( image1, source.y+1, source.x+1, cvGet2D( image2, dest.y+1, dest.x+1 ) );
				cvSet2D( image1, source.y-1, source.x-1, cvGet2D( image2, dest.y-1, dest.x-1 ) );
				cvSet2D( image1, source.y+1, source.x-1, cvGet2D( image2, dest.y+1, dest.x-1 ) );
				cvSet2D( image1, source.y-1, source.x+1, cvGet2D( image2, dest.y-1, dest.x+1 ) );
				*/

				// cvCircle( image1, source, 4, CV_RGB(255,0,0), 2, CV_AA );
				// cvCircle( image2, dest, 4, CV_RGB(255,0,0), 2, CV_AA );
			}

			/*
			cvSetImageROI( image1, cvRect(source.x-offset,source.y-offset,offset*2,offset*2) );
			cvSetImageROI( image2, cvRect(dest.x-offset,dest.y-offset,offset*2,offset*2) );
			cvNamedWindow("image1",0);
			cvNamedWindow("image2",0);
			cvShowImage("image1",image1);
			cvShowImage("image2",image2);
			printf("%d,%d -> %d,%d\n",source.x,source.y,dest.x,dest.y);
			cvWaitKey(0);
			cvDestroyAllWindows();
			*/
		}
	}
	printf("%d %d\n",num_matches,num_out_matches);
	printf("%d lookups\n",point_lookup_map.size());

	cvResetImageROI( image1 );

	cvSaveImage("sparse.jpg", image1);

	cvReleaseImage(&image1);
	image1 = cvLoadImage(im1fname, CV_LOAD_IMAGE_COLOR);
	cvSet( image1, cvScalarAll(255) );
	printf("Warping image...");

	CvSeqReader  reader;
	int total = delaunay->edges->total;
	int elem_size = delaunay->edges->elem_size;


	std::vector<Triangle> trivec;
	std::vector<CvMat *> baryinvvec;

	for( int i = 0; i < total*2; i++ ) {
		if((i == 0) || (i == total)) {
			cvStartReadSeq( (CvSeq*)(delaunay->edges), &reader, 0 );
		}
		CvQuadEdge2D* edge = (CvQuadEdge2D*)(reader.ptr);

		if( CV_IS_SET_ELEM( edge ))	{
			CvSubdiv2DEdge curedge = (CvSubdiv2DEdge)edge;
			CvSubdiv2DEdge t = curedge;
			Triangle temptri;
			int count = 0;
			
			// construct a triangle from this edge
			do {
				CvSubdiv2DPoint* pt = cvSubdiv2DEdgeOrg( t );
				if(count < 3) {
					pt->pt.x = pt->pt.x >= image1->width ? image1->width-1 : pt->pt.x;
					pt->pt.y = pt->pt.y >= image1->height ? image1->height-1 : pt->pt.y;
					pt->pt.x = pt->pt.x < 0 ? 0 : pt->pt.x;
					pt->pt.y = pt->pt.y < 0 ? 0 : pt->pt.y;

					temptri.points[count] = cvPointFrom32f( pt->pt );
				}
				else {
					printf("More than 3 edges\n");
				}
				count++;
				if(i < total)
					t = cvSubdiv2DGetEdge( t, CV_NEXT_AROUND_LEFT );
				else
					t = cvSubdiv2DGetEdge( t, CV_NEXT_AROUND_RIGHT );
			} while( t != curedge );
			
			// check that triangle is not already in
			if( std::find(trivec.begin(), trivec.end(), temptri) == trivec.end() ) {
				// push triangle in and draw
				trivec.push_back(temptri);
				cvLine( image1, temptri.points[0], temptri.points[1], CV_RGB(255,0,0), 1, CV_AA, 0 );
				cvLine( image1, temptri.points[1], temptri.points[2], CV_RGB(255,0,0), 1, CV_AA, 0 );
				cvLine( image1, temptri.points[2], temptri.points[0], CV_RGB(255,0,0), 1, CV_AA, 0 );

				// compute barycentric computation vector for this triangle
				CvMat * barycen = cvCreateMat( 3, 3, CV_32FC1 );
				CvMat * baryceninv = cvCreateMat( 3, 3, CV_32FC1 );

				barycen->data.fl[3*0+0] = temptri.points[0].x;
				barycen->data.fl[3*0+1] = temptri.points[1].x;
				barycen->data.fl[3*0+2] = temptri.points[2].x;
				barycen->data.fl[3*1+0] = temptri.points[0].y;
				barycen->data.fl[3*1+1] = temptri.points[1].y;
				barycen->data.fl[3*1+2] = temptri.points[2].y;
				barycen->data.fl[3*2+0] = 1;
				barycen->data.fl[3*2+1] = 1;
				barycen->data.fl[3*2+2] = 1;

				cvInvert( barycen, baryceninv, CV_LU );
				baryinvvec.push_back(baryceninv);

				cvReleaseMat( &barycen );
			}
		}

		CV_NEXT_SEQ_ELEM( elem_size, reader );
	}
	printf("%d triangles...", trivec.size());
	cvSaveImage("triangles.jpg", image1);
	
	cvSet( image1, cvScalarAll(255) );
	IplImage * clean_nonthresh = cvLoadImage( "conhull-clean.jpg", CV_LOAD_IMAGE_COLOR );

	// for each triangle
	for(unsigned int i = 0; i < trivec.size(); i++) {
		Triangle curtri = trivec[i];
		CvMat * curpoints = cvCreateMat( 1, 3, CV_32SC2 );
		Triangle target;
		std::map<CvPoint,CvPoint>::iterator piter[3];
		
		printf("Triangle %d / %d\n",i,trivec.size());
		int is_corner = 0;
		for(int j = 0; j < 3; j++) {
			/*
			curpoints->data.i[2*j+0] = curtri.points[j].x;
			curpoints->data.i[2*j+1] = curtri.points[j].y;
			*/
			CV_MAT_ELEM( *curpoints, CvPoint, 0, j ) = curtri.points[j];
			printf("%d,%d\n",curtri.points[j].x,curtri.points[j].y);
	
			if((curtri.points[j] == cvPoint(0,0)) ||  (curtri.points[j] == cvPoint(0,image1->height - 1)) ||(curtri.points[j] == cvPoint(image1->width - 1,0)) ||(curtri.points[j] == cvPoint(image1->width - 1,image1->height - 1))) {
				is_corner++;
			}
			

			for(unsigned int k = 0; k < point_lookup.size(); k++) {
				std::pair<CvPoint,CvPoint> thispair = point_lookup[k];
				if(thispair.first == curtri.points[j]) {
					target.points[j] = thispair.second;
					break;
				}
			}

			/*
			piter[j] = point_lookup_map.find(curtri.points[j]);
			if(piter[j] != point_lookup_map.end() ) {
				target.points[j] = piter[j]->second;
			}
			*/
		}
			
		// if((piter[0] != point_lookup_map.end()) && (piter[1] != point_lookup_map.end()) && (piter[2] != point_lookup_map.end())) {
		if(is_corner < 3) {
			CvMat * newcorners = cvCreateMat( 3, 3, CV_32FC1 );
			newcorners->data.fl[3*0+0] = target.points[0].x;
			newcorners->data.fl[3*0+1] = target.points[1].x;
			newcorners->data.fl[3*0+2] = target.points[2].x;
			newcorners->data.fl[3*1+0] = target.points[0].y;
			newcorners->data.fl[3*1+1] = target.points[1].y;
			newcorners->data.fl[3*1+2] = target.points[2].y;
			newcorners->data.fl[3*2+0] = 1;
			newcorners->data.fl[3*2+1] = 1;
			newcorners->data.fl[3*2+2] = 1;

			CvContour hdr;
			CvSeqBlock blk;
			CvRect trianglebound = cvBoundingRect( cvPointSeqFromMat(CV_SEQ_KIND_CURVE+CV_SEQ_FLAG_CLOSED, curpoints, &hdr, &blk), 1 );
			printf("Bounding box: %d,%d,%d,%d\n",trianglebound.x,trianglebound.y,trianglebound.width,trianglebound.height);
			for(int y = trianglebound.y; (y < (trianglebound.y + trianglebound.height)) && ( y < image1->height); y++) {
				for(int x = trianglebound.x; (x < (trianglebound.x + trianglebound.width)) && (x < image1->width); x++) {
					// check to see if we're inside this triangle
					/*
					CvPoint v0 = cvPoint( curtri.points[2].x - curtri.points[0].x, curtri.points[2].y - curtri.points[0].y );
					CvPoint v1 = cvPoint( curtri.points[1].x - curtri.points[0].x, curtri.points[1].y - curtri.points[0].y );
					CvPoint v2 = cvPoint( x - curtri.points[0].x, y - curtri.points[0].y );
					
					int dot00 = v0.x * v0.x + v0.y * v0. y;
					int dot01 = v0.x * v1.x + v0.y * v1. y;
					int dot02 = v0.x * v2.x + v0.y * v2. y;
					int dot11 = v1.x * v1.x + v1.y * v1. y;
					int dot12 = v1.x * v2.x + v1.y * v2. y;

					double invDenom = 1.0 / (double)(dot00 * dot11 - dot01 * dot01);
					double u = (double)(dot11 * dot02 - dot01 * dot12) * invDenom;
					double v = (double)(dot00 * dot12 - dot01 * dot02) * invDenom;
					*/

					CvMat * curp = cvCreateMat(3, 1, CV_32FC1);
					CvMat * result = cvCreateMat(3, 1, CV_32FC1);
					curp->data.fl[0] = x;
					curp->data.fl[1] = y;
					curp->data.fl[2] = 1;
					cvMatMul( baryinvvec[i], curp, result );
					// double u = result->data.fl[0]/result->data.fl[2];
					// double v = result->data.fl[1]/result->data.fl[2];

					/*
					if((i == 3019) && (y == 1329) && (x > 2505) && (x < 2584)) {
						printf("Range %d: %f, %f, %f\t%f, %f, %f\n",x,result->data.fl[0],result->data.fl[1],result->data.fl[2],
								sourcepoint->data.fl[0],sourcepoint->data.fl[1],sourcepoint->data.fl[2]);
					}
					*/

					if( (result->data.fl[0] > MIN_VAL) && (result->data.fl[1] > MIN_VAL) && (result->data.fl[2] > MIN_VAL) && (fabs(1.0 - (result->data.fl[0]+result->data.fl[1]+result->data.fl[2])) <= 0.01) ) {
					// if((u > 0) || (v > 0) /*&& ((u +v) < 1)*/ )
						// printf("Barycentric: %f %f %f\n", result->data.fl[0], result->data.fl[1], result->data.fl[2]);
						// this point is inside this triangle
						// printf("Point %d,%d inside %d,%d %d,%d %d,%d\n",x,y,trivec[i].points[0].x,trivec[i].points[0].y,
						//	trivec[i].points[1].x,trivec[i].points[1].y,trivec[i].points[2].x,trivec[i].points[2].y);
						
						CvMat * sourcepoint = cvCreateMat(3, 1, CV_32FC1);
						cvMatMul( newcorners, result, sourcepoint );	
					
						double sourcex = sourcepoint->data.fl[0]/*/sourcepoint->data.fl[2]*/;
						double sourcey = sourcepoint->data.fl[1]/*/sourcepoint->data.fl[2]*/;
						if((sourcex >= 0) && (sourcey >= 0) && (sourcex < (image1->width)) && (sourcey < (image1->height))) {
							// printf("%d,%d %d,%d\n",x,y,(int)sourcex,(int)sourcey);
							cvSet2D( image1, y, x, cvGet2D( clean_nonthresh, (int)sourcey, (int)sourcex ) );
						}
	
						
						// printf("Point %d,%d inside %d,%d %d,%d %d,%d\n",x,y,trivec[i].points[0].x,trivec[i].points[0].y,
						//		trivec[i].points[1].x,trivec[i].points[1].y,trivec[i].points[2].x,trivec[i].points[2].y);

						cvReleaseMat( &sourcepoint );
					}
					cvReleaseMat( &result );
					cvReleaseMat( &curp );
				}
			}
			
			for(int k = 0; k < verts; k++) {
				double x = clean_texture->data.fl[2*k+0];
				double y = clean_texture->data.fl[2*k+1];
				
				// check to see if we're inside this triangle
				CvMat * curp = cvCreateMat(3, 1, CV_32FC1);
				CvMat * result = cvCreateMat(3, 1, CV_32FC1);
				curp->data.fl[0] = x;
				curp->data.fl[1] = y;
				curp->data.fl[2] = 1;
				cvMatMul( baryinvvec[i], curp, result );
			
				if( (result->data.fl[0] > MIN_VAL) && (result->data.fl[1] > MIN_VAL) && (result->data.fl[2] > MIN_VAL) && (fabs(1.0 - (result->data.fl[0]+result->data.fl[1]+result->data.fl[2])) <= 0.01) ) {
					
					CvMat * sourcepoint = cvCreateMat(3, 1, CV_32FC1);
					cvMatMul( newcorners, result, sourcepoint );	
				
					double sourcex = sourcepoint->data.fl[0]/*/sourcepoint->data.fl[2]*/;
					double sourcey = sourcepoint->data.fl[1]/*/sourcepoint->data.fl[2]*/;
					if((sourcex >= 0) && (sourcey >= 0) && (sourcex < (image1->width)) && (sourcey < (image1->height))) {
						clean_texture->data.fl[2*k+0] = sourcex;
						clean_texture->data.fl[2*k+1] = sourcey;
						// cvSet2D( image1, y, x, cvGet2D( clean_nonthresh, (int)sourcey, (int)sourcex ) );
					}

					cvReleaseMat( &sourcepoint );
				}
				cvReleaseMat( &result );
				cvReleaseMat( &curp );
			}
			cvReleaseMat( &newcorners );
		}
		cvReleaseMat( &curpoints );
	}

	cvReleaseImage( &clean_nonthresh );

	printf("done.\n");

	cvSaveImage("fullwarp.jpg", image1);

	printf("Drawing subdivisions on warped image...");
	draw_subdiv( image1, delaunay, NULL, NULL, 0, NULL );
	// draw_subdiv( image1, delaunay, delaunay_points, source_points, count, status );
	printf("done.\n");
	
	cvSaveImage("edgeswarp.jpg", image1);

	cvReleaseImage(&image2);

	image2 = cvLoadImage(im2fname, CV_LOAD_IMAGE_COLOR);
	// cvCreateImage( cvGetSize(image2), IPL_DEPTH_8U, 3 );

	// cvCalcSubdivVoronoi2D( delaunay );
	printf("Drawing subdivisions on unwarped image...");
	// draw_subdiv( image2, delaunay, delaunay_points, dest_points, count, status );
	// draw_subdiv( image2, delaunay, NULL, NULL, 0, NULL );
	printf("done.\n");

	cvSaveImage("edges.jpg",image2);

	cvReleaseImage(&image1);
	cvFree(&source_points);
	cvFree(&dest_points);
	cvFree(&status);
	cvReleaseMemStorage(&storage);
	cvFree(&delaunay_points);

	cvReleaseImage(&image2);

	return 0;
}
コード例 #21
0
ファイル: moments.cpp プロジェクト: Rocky030/opencv
static void ocl_cvMoments( const void* array, CvMoments* mom, int binary )
{
    const int TILE_SIZE = 256;
    int type, depth, cn, coi = 0;
    CvMat stub, *mat = (CvMat*)array;
    CvContour contourHeader;
    CvSeq* contour = 0;
    CvSeqBlock block;
    if( CV_IS_SEQ( array ))
    {
        contour = (CvSeq*)array;
        if( !CV_IS_SEQ_POINT_SET( contour ))
            CV_Error( CV_StsBadArg, "The passed sequence is not a valid contour" );
    }

    if( !moments )
        CV_Error( CV_StsNullPtr, "" );

    memset( mom, 0, sizeof(*mom));

    if( !contour )
    {

        mat = cvGetMat( mat, &stub, &coi );
        type = CV_MAT_TYPE( mat->type );

        if( type == CV_32SC2 || type == CV_32FC2 )
        {
            contour = cvPointSeqFromMat(
                          CV_SEQ_KIND_CURVE | CV_SEQ_FLAG_CLOSED,
                          mat, &contourHeader, &block );
        }
    }
    if( contour )
    {
        icvContourMoments( contour, mom );
        return;
    }

    type = CV_MAT_TYPE( mat->type );
    depth = CV_MAT_DEPTH( type );
    cn = CV_MAT_CN( type );

    cv::Size size = cvGetMatSize( mat );
    if( cn > 1 && coi == 0 )
        CV_Error( CV_StsBadArg, "Invalid image type" );

    if( size.width <= 0 || size.height <= 0 )
        return;

    cv::Mat src0(mat);
    cv::ocl::oclMat src(src0);
    cv::Size tileSize;
    int blockx,blocky;
    if(size.width%TILE_SIZE == 0)
        blockx = size.width/TILE_SIZE;
    else
        blockx = size.width/TILE_SIZE + 1;
    if(size.height%TILE_SIZE == 0)
        blocky = size.height/TILE_SIZE;
    else
        blocky = size.height/TILE_SIZE + 1;
    cv::ocl::oclMat dst_m(blocky * 10, blockx, CV_64FC1);
    cl_mem sum = openCLCreateBuffer(src.clCxt,CL_MEM_READ_WRITE,10*sizeof(double));
    int tile_width  = std::min(size.width,TILE_SIZE);
    int tile_height = std::min(size.height,TILE_SIZE);
    size_t localThreads[3]  = { tile_height, 1, 1};
    size_t globalThreads[3] = { size.height, blockx, 1};
    std::vector<std::pair<size_t , const void *> > args,args_sum;
    args.push_back( std::make_pair( sizeof(cl_mem) , (void *)&src.data ));
    args.push_back( std::make_pair( sizeof(cl_int) , (void *)&src.rows ));
    args.push_back( std::make_pair( sizeof(cl_int) , (void *)&src.cols ));
    args.push_back( std::make_pair( sizeof(cl_int) , (void *)&src.step ));
    args.push_back( std::make_pair( sizeof(cl_int) , (void *)&tileSize.width ));
    args.push_back( std::make_pair( sizeof(cl_int) , (void *)&tileSize.height ));
    args.push_back( std::make_pair( sizeof(cl_mem) , (void *)&dst_m.data ));
    args.push_back( std::make_pair( sizeof(cl_int) , (void *)&dst_m.cols ));
    args.push_back( std::make_pair( sizeof(cl_int) , (void *)&dst_m.step ));
    args.push_back( std::make_pair( sizeof(cl_int) , (void *)&blocky ));
    args.push_back( std::make_pair( sizeof(cl_int) , (void *)&type ));
    args.push_back( std::make_pair( sizeof(cl_int) , (void *)&depth ));
    args.push_back( std::make_pair( sizeof(cl_int) , (void *)&cn ));
    args.push_back( std::make_pair( sizeof(cl_int) , (void *)&coi ));
    args.push_back( std::make_pair( sizeof(cl_int) , (void *)&binary ));
    args.push_back( std::make_pair( sizeof(cl_int) , (void *)&TILE_SIZE ));
    openCLExecuteKernel(dst_m.clCxt, &moments, "CvMoments", globalThreads, localThreads, args, -1, depth);

    size_t localThreadss[3]  = { 128, 1, 1};
    size_t globalThreadss[3] = { 128, 1, 1};
    args_sum.push_back( std::make_pair( sizeof(cl_int) , (void *)&src.rows ));
    args_sum.push_back( std::make_pair( sizeof(cl_int) , (void *)&src.cols ));
    args_sum.push_back( std::make_pair( sizeof(cl_int) , (void *)&tile_height ));
    args_sum.push_back( std::make_pair( sizeof(cl_int) , (void *)&tile_width ));
    args_sum.push_back( std::make_pair( sizeof(cl_int) , (void *)&TILE_SIZE ));
    args_sum.push_back( std::make_pair( sizeof(cl_mem) , (void *)&sum ));
    args_sum.push_back( std::make_pair( sizeof(cl_mem) , (void *)&dst_m.data ));
    args_sum.push_back( std::make_pair( sizeof(cl_int) , (void *)&dst_m.step ));
    openCLExecuteKernel(dst_m.clCxt, &moments, "dst_sum", globalThreadss, localThreadss, args_sum, -1, -1);
    double* dstsum = new double[10];
    memset(dstsum,0,10*sizeof(double));
    openCLReadBuffer(dst_m.clCxt,sum,(void *)dstsum,10*sizeof(double));
    mom->m00 = dstsum[0];
    mom->m10 = dstsum[1];
    mom->m01 = dstsum[2];
    mom->m20 = dstsum[3];
    mom->m11 = dstsum[4];
    mom->m02 = dstsum[5];
    mom->m30 = dstsum[6];
    mom->m21 = dstsum[7];
    mom->m12 = dstsum[8];
    mom->m03 = dstsum[9];
    delete [] dstsum;

    icvCompleteMomentState( mom );
}