GameScreen::GameScreen(void)
{
IplImage* tempOrange = cvLoadImage("monster.png");
IplImage* tempPurple = cvLoadImage("monster purple.jpg");
IplImage* tempGreen = cvLoadImage("monster green.jpg");
IplImage* tempWand = cvLoadImage("wand.jpg");
orangeMonster = cvCreateImage(cvSize(tempOrange->width, tempOrange->height), 8, 3);
purpleMonster = cvCreateImage(cvSize(tempPurple->width, tempPurple->height), 8, 3);
greenMonster = cvCreateImage(cvSize(tempGreen->width, tempGreen->height), 8, 3);
wand = cvCreateImage(cvSize(tempWand->width, tempWand->height), 8, 3);
cvConvertImage(tempOrange, orangeMonster);
cvConvertImage(tempPurple, purpleMonster);
cvConvertImage(tempGreen, greenMonster);
cvConvertImage(tempWand, wand);
cvReleaseImage(&tempOrange);
cvReleaseImage(&tempPurple);
cvReleaseImage(&tempGreen);
cvReleaseImage(&tempWand);
CreateScene();
}
/* Process a frame
*/
void Frame::processFrame( long int run_id )
{
for (int i=0;i<_nImages;i++) {
cvConvertImage(_grab_img[i],_tmp_img[i],0);
cvCopyImage( _rotated_img[i], _copy_img[i] );
rotateCW(_tmp_img[i],_rotated_img[i]);
// resize and convert from 4-channel to 3-channel
// (Ladybug outputs 4-channel images by default)
cvResize(_rotated_img[i],_display_img[i]);
cvConvertImage(_tmp_img[i],_grayscale_img[i],CV_RGB2GRAY);
// save the image for debug
if ( run_id > 0 ) {
LOG(LEVEL_INFO, "saving image in %d_%d.bmp", run_id, i );
char filename[256];
sprintf( filename, "synthetic/%d_%d.bmp", run_id, i );
cvSaveImage( filename, _tmp_img[i] );
}
}
flipHorizontal(_display_img[5],temp_img); // flip image horizontally
cvConvertImage(temp_img,_flipped_img,1); // flip image vertically
}
void Capture::update()
{
cvGrabFrame(m_capture);
IplImage *frame = cvRetrieveFrame(m_capture);
TmpBufferImage btmp(CV_8UC3);
if ( frame != NULL )
{
CvMat *mat = cvCreateMat(frame->height, frame->width, CV_8UC3);
if ( m_invert )
{
CvMat *tmp = btmp.getImage(frame->width, frame->height);
cvConvertImage(frame, tmp, CV_CVTIMG_SWAP_RB);
InvertImage(tmp, mat);
}
else
{
cvConvertImage(frame, mat, CV_CVTIMG_SWAP_RB);
}
m_wpipe.write(mat);
}
}
//--------------------------------------------------------------
void testApp::keyPressed(int key){
if(key=='s')
{
cvConvertImage(disp,disp, CV_CVTIMG_SWAP_RB);
cvSaveImage("data/save.bmp", disp);
cvConvertImage(disp,disp, CV_CVTIMG_SWAP_RB);
}
}
IplImage *query_frame(CvCapture *video, IplImage **frame_buffer, IplImage *current_frame) {
IplImage *frame = cvQueryFrame(video);
if (frame) {
cvConvertImage(frame, current_frame, 0);
IplImage *temp = frame_buffer[0];
frame_buffer[0] = frame_buffer[1];
frame_buffer[1] = temp;
cvConvertImage(frame, frame_buffer[0], 0);
}
return frame;
}
IplImage *AVILibrary::aviGrabNextFrame(string fileName)
{
printf("Grabbing next frame from %s\n", fileName.c_str());
if (captureAVIInitialized == false) {
aviInitialize(fileName);
frameNumber=0;
captureAVIInitialized = true;
}
if (frameNumber < captureAVIFrames) {
cvSetCaptureProperty(captureAVI, CV_CAP_PROP_POS_FRAMES, frameNumber);
IplImage *temp = cvQueryFrame(captureAVI);
// this comes in as BGR, we have to flip it to RGB
IplImage *ret = cvCreateImage(cvSize(temp->width, temp->height), IPL_DEPTH_8U, 3);
cvConvertImage(temp, ret, CV_CVTIMG_SWAP_RB);
frameNumber++;
return ret;
} else {
return NULL;
}
} // end aviGrabFrame
bool FindTagNumber::Execute(IplImage *image){
// convert and get only red pixel
IplImage* redPixel = cvCreateImage(cvSize(image->width,image->height),8,1);
IplImage* hsvImage = cvCreateImage(cvSize(image->width,image->height),8,3);
cvConvertImage(image,hsvImage,CV_BGR2HSV);
for(int y=0;y<image->height;y++)
for(int x=0;x<image->width;x++)
{
// H
if( ( ((uchar*)(hsvImage->imageData + hsvImage->widthStep*y))[x*3] < hlower
|| ((uchar*)(hsvImage->imageData + hsvImage->widthStep*y))[x*3] >= hupper )
&& ((uchar*)(hsvImage->imageData + hsvImage->widthStep*y))[x*3+1] > sthreshold
&& ((uchar*)(hsvImage->imageData + hsvImage->widthStep*y))[x*3+2] > 70 )// S
((uchar*)(redPixel->imageData + redPixel->widthStep*y))[x] = 0;
else
((uchar*)(redPixel->imageData + redPixel->widthStep*y))[x] = 255;
}
cvShowImage("red only",redPixel);
cvReleaseImage(&redPixel);
cvReleaseImage(&hsvImage);
return true;
}
void CvvImage::CopyOf( IplImage* img, int desired_color )
{
try
{
if (HG_IS_IMAGE(img))
{
int color = desired_color;
CvSize size = cvGetSize(img);
if (color < 0)
color = img->nChannels > 1;
if (Create(size.width, size.height,
(!color ? 1 : img->nChannels > 1 ? img->nChannels : 3) * 8,
img->origin))
{
cvConvertImage(img, m_img, 0);
}
}
}
catch (cv::Exception &exc)
{
char szLog[300] = { 0 };
sprintf_s(szLog, "CvvImage::CopyOf error. detail: %s\n\n", exc.msg);
TRACE(szLog);
}
catch (...)
{
char szLog[300] = { 0 };
sprintf_s(szLog, "CvvImage::CopyOf error2. Unknown error.\n\n");
TRACE(szLog);
}
}
// TESTING ONLY
bool Classifier::showRect(IplImage *image, CObject *rect, const vector<CvSURFPoint> *pts) {
//char *WINDOW_NAME = "test";
CvFont font;
IplImage *frameCopy = cvCreateImage(cvGetSize(image), IPL_DEPTH_8U, 3);
cvConvertImage(image, frameCopy);
cvNamedWindow("test", CV_WINDOW_AUTOSIZE);
cvInitFont(&font, CV_FONT_VECTOR0, 0.75, 0.75, 0.0f, 1, CV_AA);
if (pts != NULL) {
CvScalar color = CV_RGB(255, 255, 255);
for (int i = 0; i < (int)pts->size(); ++i) {
//printf("(%f %f)->(%d %d) ", (*pts)[i].x, (*pts)[i].y, frameCopy->width, frameCopy->height);
cvRectangle(frameCopy, cvPoint((*pts)[i].pt.x, (*pts)[i].pt.y),
cvPoint((*pts)[i].pt.x + 3, (*pts)[i].pt.y + 3), color);
}
}
rect->draw(frameCopy, CV_RGB(255, 0, 255), &font);
cvShowImage("test", frameCopy);
cvReleaseImage(&frameCopy);
return cvWaitKey(10) != -1;
}
void MyDisplay::camera_negatif()
{
capture = cvCreateCameraCapture(CV_CAP_ANY);
while (1){
frame = cvQueryFrame(capture);
img_nvg = cvCreateImage(cvGetSize(frame), frame->depth, 1);
//conversion en niveau de gris
cvConvertImage(frame, img_nvg, 0);
stretch_histogram_NVG(img_nvg);
negatif(img_nvg);
//frame = negatif(frame);
cvShowImage("test", img_nvg);
int key = cvWaitKey(1);
if (key == 'q')
{
break;
}
else {
//nothing to do
}
}
cvReleaseCapture(&capture);
}
bool CvVideoWriter_VFW::writeFrame( const IplImage* image )
{
bool result = false;
CV_FUNCNAME( "CvVideoWriter_VFW::writeFrame" );
__BEGIN__;
if( !image )
EXIT;
if( !compressed && !createStreams( cvGetSize(image), image->nChannels > 1 ))
EXIT;
if( image->width != tempFrame->width || image->height != tempFrame->height )
CV_ERROR( CV_StsUnmatchedSizes,
"image size is different from the currently set frame size" );
if( image->nChannels != tempFrame->nChannels ||
image->depth != tempFrame->depth ||
image->origin == 0 ||
image->widthStep != cvAlign(image->width*image->nChannels*((image->depth & 255)/8), 4))
{
cvConvertImage( image, tempFrame, image->origin == 0 ? CV_CVTIMG_FLIP : 0 );
image = (const IplImage*)tempFrame;
}
result = AVIStreamWrite( compressed, pos++, 1, image->imageData,
image->imageSize, AVIIF_KEYFRAME, 0, 0 ) == AVIERR_OK;
__END__;
return result;
}
void cvImageWidgetSetImage(CvImageWidget * widget, const CvArr *arr){
CvMat * mat, stub;
int origin=0;
//printf("cvImageWidgetSetImage\n");
if( CV_IS_IMAGE_HDR( arr ))
origin = ((IplImage*)arr)->origin;
mat = cvGetMat(arr, &stub);
if(widget->original_image && !CV_ARE_SIZES_EQ(mat, widget->original_image)){
cvReleaseMat( &widget->original_image );
}
if(!widget->original_image){
widget->original_image = cvCreateMat( mat->rows, mat->cols, CV_8UC3 );
gtk_widget_queue_resize( GTK_WIDGET( widget ) );
}
cvConvertImage( mat, widget->original_image,
(origin != 0 ? CV_CVTIMG_FLIP : 0) + CV_CVTIMG_SWAP_RB );
if(widget->scaled_image){
cvResize( widget->original_image, widget->scaled_image, CV_INTER_AREA );
}
// window does not refresh without this
gtk_widget_queue_draw( GTK_WIDGET(widget) );
}
void invert_image( IplImage* source, IplImage* result )
{
// TO DO: Write code to invert all points in the source image (i.e. for each channel for each pixel in the result
// image the value should be 255 less the corresponding value in the source image).
int width_step=source->widthStep;
int pixel_step=source->widthStep/source->width;
int number_channels=source->nChannels;
cvZero( result );
int row=0,col=0;
IplImage* grayscale_image= cvCloneImage(source);
cvZero(grayscale_image);
cvConvertImage(source,grayscale_image);
for (row=0; row < result->height; row++)
{
for (col=0; col < result->width; col++)
{
unsigned char* curr_point = GETPIXELPTRMACRO( grayscale_image, col, row, width_step, pixel_step );
unsigned char* curr_point_temp = GETPIXELPTRMACRO( result, col, row, width_step, pixel_step );
curr_point_temp[0] =255-curr_point[0] ; //invert the pixel value
}
}
}
bool CaptureManager::SaveMovie(const char* avi)
{
bool resize = false;
CvSize newsize = size;
if ( Preferences::GetSavingSizeOverride() && !cvSizeEquals(Preferences::GetSavingSize(), size) ){
resize = true;
newsize = Preferences::GetSavingSize();
}
CvVideoWriter* writer = cvCreateVideoWriter(avi,
Preferences::GetSavingCodec(),
Preferences::GetSavingFpsOverride() || !fps ? Preferences::GetSavingFpsDefault() : fps,
newsize, 1);
IplImage *resized;
if (resize)
resized = cvCreateImage(newsize,8,3);
IplImage *frame_flip = cvCreateImage(newsize,8,3);
wxProgressDialog progressDlg(_T("Saving movie..."), wxString::Format(_T("Frame 0 of %d"), frameCount),frameCount, NULL, wxPD_APP_MODAL|wxPD_ELAPSED_TIME|wxPD_REMAINING_TIME|wxPD_AUTO_HIDE);
for (int i=0; i<frameCount; i++) {
progressDlg.Update(i+1, wxString::Format(_T("Frame %d of %d"), i+1, frameCount));
if (resize)
cvResize(book[i*offset]->ToIplImage(), resized);
else
resized = book[i*offset]->ToIplImage();
cvConvertImage( resized, frame_flip, CV_CVTIMG_SWAP_RB );
cvWriteFrame(writer, frame_flip);
}
cvReleaseVideoWriter(&writer);
cvReleaseImage(&frame_flip);
frame_flip = NULL;
if (resize)
cvReleaseImage(&resized);
return true;
}
// установка изображений для сравнения
void OpticalFlowLK::setA(IplImage* src)
{
if(!src)
return;
if(imgA!=0)
{
cvReleaseImage(&imgA);
imgA=0;
}
if(eig_image!=0)
{
cvReleaseImage(&eig_image);
cvReleaseImage(&tmp_image);
eig_image=0;
tmp_image=0;
}
imgA = cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, 1);
eig_image = cvCreateImage(cvGetSize(src), IPL_DEPTH_32F, 1);
tmp_image = cvCreateImage(cvGetSize(src), IPL_DEPTH_32F, 1);
if(!imgA || !eig_image || !tmp_image)
{
fprintf(stderr, "[!][OpticalFlowLK] Error: cant allocate memory!\n");
return;
}
cvConvertImage(src, imgA, CV_BGR2GRAY);
}
TDV_NAMESPACE_BEGIN
bool ImageReader::update()
{
WriteGuard<ReadWritePipe<CvMat*> > wg(m_wpipe);
if ( m_cImg < m_filenames.size() )
{
const std::string &filename(m_filenames[m_cImg++]);
IplImage *img = cvLoadImage(filename.c_str());
if ( img != NULL )
{
#if 0
CvMat *mat = cvCreateMatHeader(img->height, img->width, CV_8UC3);
mat = cvGetMat(img, mat);
#else
CvMat *mat = cvCreateMat(img->height, img->width, CV_8UC3);
cvConvertImage(img, mat, CV_CVTIMG_SWAP_RB);
cvReleaseImage(&img);
#endif
wg.write(mat);
}
else
{
throw Exception(boost::format("can't open image: %1%")
% filename);
}
}
return wg.wasWrite();
}
void
bline_image_set_visible (BlineImage *self, IplImage *image)
{
GdkPixbuf *pixbuf;
IplImage *rgbimage;
if (image == NULL)
{
gtk_image_clear (GTK_IMAGE (self));
return;
}
rgbimage = cvCreateImage (cvSize (image->width, image->height),
image->depth, 3);
cvConvertImage (image, rgbimage, 0);
pixbuf = gdk_pixbuf_new_from_data ((const guchar *) rgbimage->imageData,
GDK_COLORSPACE_RGB,
FALSE,
rgbimage->depth,
rgbimage->width,
rgbimage->height,
rgbimage->widthStep,
bline_image_release_pixbuf_ipl_image,
(gpointer) rgbimage);
gtk_image_set_from_pixbuf (GTK_IMAGE (self), pixbuf);
g_object_unref (G_OBJECT (pixbuf));
}
int main( int argc, char** argv ) {
cvNamedWindow( "Example2", CV_WINDOW_AUTOSIZE );
CvCapture* capture = cvCaptureFromCAM(-1);
IplImage* frame, *simplifiedFrame = NULL, *simplifiedFrame2 = NULL, *frame2 = NULL;
CvMemStorage* storage = cvCreateMemStorage(0);
CvSeq* lines = NULL;
int i;
if (capture == NULL) {
printf("Oooops .. I'm screwed :-(\n");
exit(-1);
}
while(1) {
frame = cvQueryFrame( capture );
if( !frame ) break;
if (simplifiedFrame == NULL) {
simplifiedFrame = cvCreateImage(cvSize(frame->width, frame->height), IPL_DEPTH_8U, 1);
}
if (simplifiedFrame2 == NULL) {
simplifiedFrame2 = cvCreateImage(cvSize(frame->width, frame->height), IPL_DEPTH_8U, 1);
}
if (frame2 == NULL) {
frame2 = cvCreateImage(cvSize(frame->width, frame->height), frame->depth, frame->nChannels);
}
cvConvertImage(frame, simplifiedFrame, 0);
cvCanny(simplifiedFrame, simplifiedFrame2, 300 * 7 * 7, 400 * 7 * 7, 7);
cvConvertImage(simplifiedFrame2, frame2, 0);
cvAdd(frame, frame2, frame);
cvShowImage( "Example2", frame );
char c = cvWaitKey(33);
if( c == 27 ) break;
}
cvReleaseImage(&frame);
cvReleaseImage(&frame2);
cvReleaseImage(&simplifiedFrame);
cvReleaseImage(&simplifiedFrame2);
cvReleaseMemStorage( &storage );
cvReleaseCapture( &capture );
cvDestroyWindow( "Example2" );
}
CvScalar GetMaxColor(const IplImage* img)
{
CvScalar scalar;
IplImage* gray = cvCreateImage(cvGetSize(img),IPL_DEPTH_8U,1);
cvConvertImage(img,gray,CV_BGR2GRAY);
return scalar;
//cvGetSi
}
IplImage* CvCaptureCAM_CMU::retrieveFrame()
{
C1394Camera* cmucam = camera();
if( !cmucam )
return 0;
cmucam->getRGB((uchar*)image->imageData, image->imageSize);
cvConvertImage( image, image, CV_CVTIMG_SWAP_RB );
return image;
}
IplImage* MyDisplay::image_camera_NVG(CvCapture* capture)
{
frame = cvQueryFrame(capture);
img_nvg = cvCreateImage(cvGetSize(frame), frame->depth, 1);
//conversion en niveau de gris
cvConvertImage(frame, img_nvg, 0);
return frame;
}
/**
* @internal
* @brief Find the blobs in the received image.
* What it looks for in an image is bright areas, so typically
* the image result of a background subtraction is a good input.
*
* @param[in] inImage image where the blobs will be searched
*/
void BlobFinder::update( const Image& inImage )
{
// Check valid
if ( !isValid() )
THROW_EXCEPTION( "Trying to compute blobs, with the BlobFinder not initialized. Init method should be called" );
// Check blob area... and if it has not been set, set it to the max and min (no lower than 10, to avoid opencv issues)
if ( (m_minBlobArea < 0) || (m_maxBlobArea < 0) )
{
m_minBlobArea = 10;
m_maxBlobArea = (float)inImage.getWidth() * (float)inImage.getHeight();
}
// Check both images have same size and it is the same than the filter size
if( (inImage.getNChannels() != 1) && (inImage.getNChannels() != 3) )
THROW_EXCEPTION( "Trying to compute blobs on images with non supporte format -> only RGB or GRAYSCALE images supported" );
// Request temp image to work with
IplImage* cvTempImage = ImageResourceManager::getSingleton().getImage( inImage.getWidth(), inImage.getHeight(), 1 );
// If they have different number of channels -> convert them
if ( inImage.getNChannels() == 3 )
cvConvertImage( &inImage.getCVImage(), cvTempImage );
// just one channel -> Copy the input image
else
cvCopy( &inImage.getCVImage(), cvTempImage );
// Find blobs (openCV contours)
int retrivalMode = CV_RETR_EXTERNAL; // CV_RETR_CCOMP
cvFindContours( cvTempImage, m_findContoursStorage, &m_contour, sizeof(CvContour), retrivalMode, CV_CHAIN_APPROX_SIMPLE );
// Extract found contours
// Iterate through found contours and store them..
m_blobs.clear();
for( ; m_contour != 0; m_contour = m_contour->h_next )
{
// Get contour area
double area = fabs( cvContourArea( m_contour, CV_WHOLE_SEQ ) );
// If it has a good size (between min and max)
if ( ( area > m_maxBlobArea ) || ( area < m_minBlobArea ) )
continue;
// Store new Blob
m_blobs.push_back( Blob( area, m_contour ) );
}
// Release temp image
ImageResourceManager::getSingleton().releaseImage( cvTempImage );
// Extract information of found blobs
extractBlobsInformation();
// Clear OpenCV contours storage
cvClearMemStorage( m_findContoursStorage );
}
void FingertipPoseEstimation::OnCapture( IplImage * frame, int64 nTickCount, IplImage * gray )
{
//
// uhoh, let me do a little better way of this.
// maybe we just don't need to copy when we have already another
// copy of the images. anyway, i am gonna do this for now.
//
cvCopy( frame, _pImage );
cvConvertImage( _pImage, _pGray, CV_BGR2GRAY );
}
IplImage* Utils::qtToCv(QImage *qImage)
{
IplImage* cvImage;
cvImage = cvCreateImageHeader(cvSize(qImage->width(), qImage->height()), IPL_DEPTH_8U, 4);
cvImage->imageData = (char*)qImage->bits();
IplImage* colorImage = cvCreateImage( cvGetSize(cvImage), IPL_DEPTH_8U, 3 );
cvConvertImage( cvImage, colorImage );
cvReleaseImage(&cvImage);
return colorImage;
}
void OpenCVOperations::flipVertically(SLImage * input, SLImage * output) {
if (NULL == input || NULL == output)
return;
OpenCVImage * iplInput = dynamic_cast<OpenCVImage *>(input);
OpenCVImage * iplOutput = dynamic_cast<OpenCVImage *>(output);
if (0 == iplInput || 0 == iplOutput ||
0 == iplInput->getIplImage() || 0 == iplOutput->getIplImage())
return;
cvConvertImage( iplInput->getIplImage(), iplOutput->getIplImage(), CV_CVTIMG_FLIP );
}
// Convert a video to grayscale
// argv[1]: input video file
// argv[2]: name of new output file
//
main( int argc, char* argv[] ) {
CvCapture* capture = cvCreateFileCapture( argv[1] );
if (!capture){
return -1;
}
IplImage* bgr_frame;
double fps = cvGetCaptureProperty (
capture,
CV_CAP_PROP_FPS
);
CvSize size = cvSize(
(int)cvGetCaptureProperty( capture, CV_CAP_PROP_FRAME_WIDTH),
(int)cvGetCaptureProperty( capture, CV_CAP_PROP_FRAME_HEIGHT)
);
CvVideoWriter* writer = cvCreateVideoWriter(
argv[2],
CV_FOURCC('M','J','P','G'),
fps,
size
);
IplImage* logpolar_frame = cvCreateImage(
size,
IPL_DEPTH_8U,
3
);
IplImage* gray_frame = cvCreateImage(
size,
IPL_DEPTH_8U,
1
);
while( (bgr_frame=cvQueryFrame(capture)) != NULL ) {
cvConvertImage(
bgr_frame,
gray_frame,
CV_RGB2GRAY
);
cvLogPolar( bgr_frame, logpolar_frame,
cvPoint2D32f(bgr_frame->width/2,
bgr_frame->height/2),
40,
CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS );
cvWriteToAVI( writer, logpolar_frame );
}
cvReleaseVideoWriter( &writer );
cvReleaseImage( &gray_frame );
cvReleaseImage( &logpolar_frame );
cvReleaseImage( &bgr_frame );
cvReleaseCapture( &capture );
}
void Frame::grayScale()
{
int flip=0;
if(image->origin!=IPL_ORIGIN_TL){
flip=CV_CVTIMG_FLIP;
}
IplImage* img_nvg = cvCreateImage(cvGetSize(image), image->depth, 1);
cvConvertImage(image, img_nvg, flip);
cvReleaseImage(&image);
image=img_nvg;
}
void OpenCVOperations::swapRB(SLImage * input, SLImage * output) {
if (NULL == input || NULL == output)
return;
OpenCVImage * iplInput = dynamic_cast<OpenCVImage *>(input);
OpenCVImage * iplOutput = dynamic_cast<OpenCVImage *>(output);
if (0 == iplInput || 0 == iplOutput ||
0 == iplInput->getIplImage() || 0 == iplOutput->getIplImage())
return;
cvConvertImage( iplInput->getIplImage(), iplOutput->getIplImage(),CV_CVTIMG_SWAP_RB );
}
void determine_optimal_sign_classification( IplImage* original_image, IplImage* red_point_image, CvSeq* red_components, CvSeq* background_components, IplImage* result_image )
{
int width_step=original_image->widthStep;
int pixel_step=original_image->widthStep/original_image->width;
IplImage* mask_image = cvCreateImage( cvGetSize(original_image), 8, 1 );
IplImage* grayscale_image = cvCreateImage( cvGetSize(original_image), 8, 1 );
cvConvertImage( original_image, grayscale_image );
IplImage* thresholded_image = cvCreateImage( cvGetSize(original_image), 8, 1 );
cvZero( thresholded_image );
cvZero( result_image );
int row=0,col=0;
CvSeq* curr_red_region = red_components;
while (curr_red_region != NULL)
{
cvZero( mask_image );
CvScalar color = CV_RGB( 255, 255, 255 );
CvScalar mask_value = cvScalar( 255 ); //white point
// Determine which background components are contained within the red component (i.e. holes)
// and create a binary mask of those background components.
CvSeq* curr_background_region = curr_red_region->v_next;
if (curr_background_region != NULL)
{
while (curr_background_region != NULL)
{
cvDrawContours( mask_image, curr_background_region, mask_value, mask_value, -1, CV_FILLED, 8 );
cvDrawContours( result_image, curr_background_region, color, color, -1, CV_FILLED, 8 );
curr_background_region = curr_background_region->h_next;
}
int hist_size=256;
CvHistogram* hist = cvCreateHist( 1, &hist_size, CV_HIST_ARRAY );
cvCalcHist( &grayscale_image, hist, 0, mask_image );
// Determine an optimal threshold on the points within those components (using the mask)
int optimal_threshold = determine_optimal_threshold( hist );
apply_threshold_with_mask(grayscale_image,result_image,mask_image,optimal_threshold);
}
curr_red_region = curr_red_region->h_next;
}
for (row=0; row < result_image->height; row++)
{
unsigned char* curr_red = GETPIXELPTRMACRO( red_point_image, 0, row, width_step, pixel_step );
unsigned char* curr_result = GETPIXELPTRMACRO( result_image, 0, row, width_step, pixel_step );
for (col=0; col < result_image->width; col++)
{
curr_red += pixel_step;
curr_result += pixel_step;
if (curr_red[0] > 0)
curr_result[2] = 255;
}
}
cvReleaseImage( &mask_image );
}
IplImage* BouyObject::GVColorMask(const IplImage * imgIn) const
{
IplImage * imgOut = cvCreateImage(cvGetSize(imgIn),IPL_DEPTH_8U, 1);
IplImage * temp = cvCreateImage(cvGetSize(imgIn),IPL_DEPTH_8U, 1);
IplImage * thresh = NULL;
mThresh->Setup(mNearColor.val[2],mNearColor.val[1],mNearColor.val[0],50,50,50);
//mThresh->Setup(mNearTarget);
mThresh->Process(imgIn,thresh);
cvConvertImage(thresh, imgOut);
mThresh->Setup(mFarColor.val[2],mFarColor.val[1],mFarColor.val[0],50,50,50);
//mThresh->Setup(mNearTarget);
mThresh->Process(imgIn,thresh);
cvConvertImage(thresh, temp);
VisionUtils::CombineMasks(imgOut,temp,imgOut);
cvReleaseImage(&temp);
return imgOut;
}