/*
* call-seq:
* sub(val[,mask])
*
* Return new CvScalar if <i>val</i> is CvScalar or compatible object.
* self[I] - val[I]
* Or return new CvMat if <i>val</i> is CvMat or subclass.
*/
VALUE
rb_sub(int argc, VALUE *argv, VALUE self)
{
VALUE val, mask;
rb_scan_args(argc, argv, "11", &val, &mask);
if (rb_obj_is_kind_of(val, cCvMat::rb_class())) {
CvArr *val_ptr = CVARR(val);
VALUE dest = Qnil;
try {
dest = cCvMat::new_object(cvGetSize(val_ptr), cvGetElemType(val_ptr));
cvSubRS(val_ptr, *CVSCALAR(self), CVARR(dest), MASK(mask));
}
catch (cv::Exception& e) {
raise_cverror(e);
}
return dest;
}
else {
CvScalar *src = CVSCALAR(self);
CvScalar scl = VALUE_TO_CVSCALAR(val);
return new_object(cvScalar(src->val[0] - scl.val[0],
src->val[1] - scl.val[1],
src->val[2] - scl.val[2],
src->val[3] - scl.val[3]));
}
}
/*
* call-seq:
* retrieve -> IplImage or nil
*
* Gets the image grabbed with grab.
*/
VALUE
rb_retrieve(VALUE self)
{
IplImage *frame = cvRetrieveFrame(CVCAPTURE(self));
if(!frame)
return Qnil;
VALUE image = cIplImage::new_object(cvSize(frame->width, frame->height), CV_MAKETYPE(CV_8U, frame->nChannels));
if (frame->origin == IPL_ORIGIN_TL) {
cvCopy(frame, CVARR(image));
} else {
cvFlip(frame, CVARR(image));
}
return image;
}
/*
* Determines whether the point is inside a contour, outside, or lies on an edge (or coinsides with a vertex).
* @overload point_polygon_test(point, measure_dist)
* @param point [CvPoint2D32f] Point tested against the contour
* @param measure_dist [Boolean] If true, the method estimates the signed distance from the point to
* the nearest contour edge. Otherwise, the function only checks if the point is inside a contour or not.
* @return [Number] When measure_dist = false, the return value is +1, -1 and 0, respectively.
* When measure_dist = true, it is a signed distance between the point and the nearest contour edge.
* @opencv_func cvPointPolygonTest
*/
VALUE
rb_point_polygon_test(VALUE self, VALUE point, VALUE measure_dist)
{
int measure_dist_flag;
if (measure_dist == Qtrue)
measure_dist_flag = 1;
else if (measure_dist == Qfalse)
measure_dist_flag = 0;
else
measure_dist_flag = NUM2INT(measure_dist);
double dist = Qnil;
try {
dist = cvPointPolygonTest(CVARR(self), VALUE_TO_CVPOINT2D32F(point), measure_dist_flag);
}
catch (cv::Exception& e) {
raise_cverror(e);
}
/* cvPointPolygonTest returns 100, -100 or 0 when measure_dist = 0 */
if ((!measure_dist_flag) && ((int)dist) != 0)
dist = (dist > 0) ? 1 : -1;
return rb_float_new(dist);
}
/*
* call-seq:
* sub(val[,mask])
*
* Return new CvScalar if <i>val</i> is CvScalar or compatible object.
* self[I] - val[I]
* Or return new CvMat if <i>val</i> is CvMat or subclass.
*/
VALUE
rb_sub(int argc, VALUE *argv, VALUE self)
{
VALUE val, mask;
rb_scan_args(argc, argv, "11", &val, &mask);
if(rb_obj_is_kind_of(val, cCvMat::rb_class())){
VALUE dest = cCvMat::new_object(cvGetSize(CVARR(val)), cvGetElemType(CVARR(val)));
cvSubRS(CVARR(val), *CVSCALAR(self), CVARR(dest), MASK(mask));
return dest;
}else{
CvScalar *src = CVSCALAR(self), scl = VALUE_TO_CVSCALAR(val);
return new_object(cvScalar(src->val[0] - scl.val[0],
src->val[1] - scl.val[1],
src->val[2] - scl.val[2],
src->val[3] - scl.val[3]));
}
}
/*
* call-seq:
* arc_length(<i>[slice = nil][,is_closed = nil]</i>) -> float
*
* Calculates contour perimeter or curve length.
* <i>slice</i> is starting and ending points of the curve.
* <i>is_closed</i> is indicates whether the curve is closed or not. There are 3 cases:
* * is_closed = true - the curve is assumed to be unclosed.
* * is_closed = false - the curve is assumed to be closed.
* * is_closed = nil (default) use self#close?
*/
VALUE
rb_arc_length(int argc, VALUE *argv, VALUE self)
{
VALUE slice, is_closed;
rb_scan_args(argc, argv, "02", &slice, &is_closed);
return rb_float_new(cvArcLength(CVARR(self),
NIL_P(slice) ? CV_WHOLE_SEQ : VALUE_TO_CVSLICE(slice),
TRUE_OR_FALSE(is_closed, -1)));
}
/*
* call-seq:
* match_shapes(object, method) -> float
*
* Compares two shapes(self and object). <i>object</i> should be CvContour.
*
* A - object1, B - object2:
* * method=CV_CONTOURS_MATCH_I1
* I1(A,B)=sumi=1..7abs(1/mAi - 1/mBi)
* * method=CV_CONTOURS_MATCH_I2
* I2(A,B)=sumi=1..7abs(mAi - mBi)
* * method=CV_CONTOURS_MATCH_I3
* I3(A,B)=sumi=1..7abs(mAi - mBi)/abs(mAi)
*/
VALUE
rb_match_shapes(int argc, VALUE *argv, VALUE self)
{
VALUE object, method, param;
rb_scan_args(argc, argv, "21", &object, &method, ¶m);
int method_flag = CVMETHOD("COMPARISON_METHOD", method);
if (!rb_obj_is_kind_of(object, cCvContour::rb_class()))
rb_raise(rb_eTypeError, "argument 1 (shape) should be %s",
rb_class2name(cCvContour::rb_class()));
double result = 0;
try {
result = cvMatchShapes(CVARR(self), CVARR(object), method_flag);
}
catch (cv::Exception& e) {
raise_cverror(e);
}
return rb_float_new(result);
}
/*
* call-seq:
* query -> IplImage or nil
*
* Grabs and returns a frame camera or file. Just a combination of grab and retrieve in one call.
*/
VALUE
rb_query(VALUE self)
{
VALUE image = Qnil;
try {
IplImage *frame = cvQueryFrame(CVCAPTURE(self));
if (!frame)
return Qnil;
image = cIplImage::new_object(cvSize(frame->width, frame->height),
CV_MAKETYPE(CV_8U, frame->nChannels));
if (frame->origin == IPL_ORIGIN_TL)
cvCopy(frame, CVARR(image));
else
cvFlip(frame, CVARR(image));
}
catch (cv::Exception& e) {
raise_cverror(e);
}
return image;
}
/*
* Calculates distance between a point and the nearest contour edgex
* @overload measure_distance(point)
* @param point [CvPoint2D32f] Point tested against the contour
* @return Signed distance between the point and the nearest contour edge
* @opencv_func cvPointPolygonTest
*/
VALUE
rb_measure_distance(VALUE self, VALUE point)
{
double distance = 0;
try {
distance = cvPointPolygonTest(CVARR(self), VALUE_TO_CVPOINT2D32F(point), 1);
}
catch (cv::Exception& e) {
raise_cverror(e);
}
return rb_float_new(distance);
}
/*
* Performs a point-in-contour test.
* The method determines whether the point is inside a contour, outside,
* or lies on an edge (or coincides with a vertex).
* @overload in?(point)
* @param point [CvPoint2D32f] Point tested against the contour
* @return [Boolean] If the point is inside, returns true. If outside, returns false.
* If lies on an edge, returns nil.
* @opencv_func cvPointPolygonTest
*/
VALUE
rb_in_q(VALUE self, VALUE point)
{
double n = 0;
try {
n = cvPointPolygonTest(CVARR(self), VALUE_TO_CVPOINT2D32F(point), 0);
}
catch (cv::Exception& e) {
raise_cverror(e);
}
return n == 0 ? Qnil : n > 0 ? Qtrue : Qfalse;
}
/*
* call-seq:
* CvMoments.new(<i>src[,is_binary = nil]</i>)
*
* Calculates all moments up to third order of a polygon or rasterized shape.
* <i>src</i> should be CvMat or CvPolygon.
*
* If is_binary = true, all the zero pixel values are treated as zeroes, all the others are treated as 1's.
*/
VALUE
rb_initialize(int argc, VALUE *argv, VALUE self)
{
VALUE src, is_binary;
rb_scan_args(argc, argv, "02", &src, &is_binary);
if (!NIL_P(src)) {
if (rb_obj_is_kind_of(src, cCvMat::rb_class()) || rb_obj_is_kind_of(src, cCvSeq::rb_class()))
cvMoments(CVARR(src), CVMOMENTS(self), TRUE_OR_FALSE(is_binary, 0));
else
rb_raise(rb_eTypeError, "argument 1 (src) should be %s or %s.",
rb_class2name(cCvMat::rb_class()), rb_class2name(cCvSeq::rb_class()));
}
return self;
}
/*
* Grabs, decodes and returns the next video frame.
* @overload query
* @return [IplImage] Next video frame
* @return [nil] Failed to read next video frame
* @opencv_func cvQueryFrame
*/
VALUE
rb_query(VALUE self)
{
VALUE image = Qnil;
IplImage *frame = NULL;
try {
if (!(frame = cvQueryFrame(CVCAPTURE(self)))) {
return Qnil;
}
image = cIplImage::new_object(frame->width, frame->height,
CV_MAKETYPE(IPL2CV_DEPTH(frame->depth), frame->nChannels));
if (frame->origin == IPL_ORIGIN_TL) {
cvCopy(frame, CVARR(image));
}
else {
cvFlip(frame, CVARR(image));
}
}
catch (cv::Exception& e) {
raise_cverror(e);
}
return image;
}
/* * call-seq: * IplImage.smoothness(<i>lowFreqRatio, blankDensity, messyDensity, highFreqRatio</i>) -> [ symbol, float, float ] * * Determines if the image's smoothness is either, :smooth, :messy, or :blank. * * Original Author: [email protected] */ VALUE rb_smoothness(int argc, VALUE *argv, VALUE self) { VALUE lowFreqRatio, blankDensity, messyDensity, highFreqRatio; rb_scan_args(argc, argv, "04", &lowFreqRatio, &blankDensity, &messyDensity, &highFreqRatio); double f_lowFreqRatio, f_blankDensity, f_messyDensity, f_highFreqRatio; double outLowDensity, outHighDensity; if (TYPE(lowFreqRatio) == T_NIL) { f_lowFreqRatio = 10 / 128.0f; } else { Check_Type(lowFreqRatio, T_FLOAT); f_lowFreqRatio = NUM2DBL(lowFreqRatio); } if (TYPE(blankDensity) == T_NIL) { f_blankDensity = 1.2f; } else { Check_Type(blankDensity, T_FLOAT); f_blankDensity = NUM2DBL(blankDensity); } if (TYPE(messyDensity) == T_NIL) { f_messyDensity = 0.151f; } else { Check_Type(messyDensity, T_FLOAT); f_messyDensity = NUM2DBL(messyDensity); } if (TYPE(highFreqRatio) == T_NIL) { f_highFreqRatio = 5 / 128.0f; } else { Check_Type(highFreqRatio, T_FLOAT); f_highFreqRatio = NUM2DBL(highFreqRatio); } IplImage *pFourierImage; IplImage *p64DepthImage; // the image is required to be in depth of 64 if (IPLIMAGE(self)->depth == 64) { p64DepthImage = NULL; pFourierImage = create_fourier_image(IPLIMAGE(self)); } else { p64DepthImage = rb_cvCreateImage(cvGetSize(IPLIMAGE(self)), IPL_DEPTH_64F, 1); cvConvertScale(CVARR(self), p64DepthImage, 1.0, 0.0); pFourierImage = create_fourier_image(p64DepthImage); } Smoothness result = compute_smoothness(pFourierImage, f_lowFreqRatio, f_blankDensity, f_messyDensity, f_highFreqRatio, outLowDensity, outHighDensity); cvReleaseImage(&pFourierImage); if (p64DepthImage != NULL) cvReleaseImage(&p64DepthImage); switch(result) { case SMOOTH: return rb_ary_new3(3, ID2SYM(rb_intern("smooth")), rb_float_new(outLowDensity), rb_float_new(outHighDensity)); case MESSY: return rb_ary_new3(3, ID2SYM(rb_intern("messy")), rb_float_new(outLowDensity), rb_float_new(outHighDensity)); case BLANK: return rb_ary_new3(3, ID2SYM(rb_intern("blank")), rb_float_new(outLowDensity), rb_float_new(outHighDensity)); default: return rb_ary_new3(3, NULL, rb_float_new(outLowDensity), rb_float_new(outHighDensity)); } }
