-// Copyright (C) 2007-2011 CEA/DEN, EDF R&D, OPEN CASCADE
+// Copyright (C) 2007-2012 CEA/DEN, EDF R&D, OPEN CASCADE
//
// Copyright (C) 2003-2007 OPEN CASCADE, EADS/CCR, LIP6, CEA/DEN,
// CEDRAT, EDF R&D, LEG, PRINCIPIA R&D, BUREAU VERITAS
// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
//
// See http://www.salome-platform.org/ or email : webmaster.salome@opencascade.com
+//
// File : ShapeRec_FeatureDetector.cxx
// Author : Renaud NEDELEC, Open CASCADE S.A.S.
}
/*!
- Sets the path of the image file to be proccesed
+ Sets the path of the image file to be processed
\param thePath - Location of the image file
*/
void ShapeRec_FeatureDetector::SetPath( const std::string& thePath )
/*!
Performs contours detection and store them in contours
- \param src - src image to find contours of
+ \param binaryImg - src image to find contours of
*/
-void ShapeRec_FeatureDetector::_detectAndRetrieveContours( Mat src )
+void ShapeRec_FeatureDetector::_detectAndRetrieveContours( Mat binaryImg )
{
- src = src > 1;
+ binaryImg = binaryImg > 1;
int method = CV_CHAIN_APPROX_NONE;
- findContours( src, contours, hierarchy,CV_RETR_CCOMP, method);
+ findContours( binaryImg, contours, hierarchy,CV_RETR_CCOMP, method);
// Other possible approximations CV_CHAIN_APPROX_TC89_KCOS, CV_CHAIN_APPROX_TC89_L1, CV_CHAIN_APPROX_SIMPLE cf. OpenCV documentation
// for precise information
}
cvResetImageROI(find_image);
IplImage* test_hsv = cvCreateImage(cvGetSize(test_image),8,3);
- IplImage* test_hue = cvCreateImage(cvGetSize(test_image),8,1);
+ IplImage* h_plane = cvCreateImage( cvGetSize(test_image), 8, 1 );
+ IplImage* s_plane = cvCreateImage( cvGetSize(test_image), 8, 1 );
CvHistogram* hist;
cvCvtColor(test_image, test_hsv, CV_BGR2HSV);
- cvCvtPixToPlane(test_hsv, test_hue, 0, 0, 0);
+
+ cvCvtPixToPlane(test_hsv, h_plane, s_plane, 0, 0);
+ IplImage* planes[] = { h_plane, s_plane };
//create hist
- int size_hist = 10;
- float hranges[] = {0, 180};
- float* ranges = hranges;
- hist = cvCreateHist(1, &size_hist, CV_HIST_ARRAY, &ranges, 1);
+ int hbins = 30, sbins = 32; // TODO think to the best values here
+ int hist_size[] = { hbins, sbins };
+ float hranges[] = { 0, 180 };
+ float sranges[] = { 0, 255 };
+ float* ranges[] = { hranges, sranges };
+ hist = cvCreateHist(2, hist_size, CV_HIST_ARRAY, ranges, 1);
- //calculate hue` histogram
- cvCalcHist(&test_hue, hist, 0 ,0);
+ //calculate hue /saturation histogram
+ cvCalcHist(planes, hist, 0 ,0);
// // TEST print of the histogram for debugging
// IplImage* hist_image = cvCreateImage(cvSize(320,300),8,3);
// cvNamedWindow("hist", 1); cvShowImage("hist",hist_image);
- //calculate back projection of hue plane of input image
+ //calculate back projection of hue and saturation planes of input image
IplImage* backproject = cvCreateImage(cvGetSize(find_image), 8, 1);
IplImage* binary_backproject = cvCreateImage(cvGetSize(find_image), 8, 1);
IplImage* find_hsv = cvCreateImage(cvGetSize(find_image),8,3);
- IplImage* find_hue = cvCreateImage(cvGetSize(find_image),8,1);
+ IplImage* find_hplane = cvCreateImage(cvGetSize(find_image),8,1);
+ IplImage* find_splane = cvCreateImage(cvGetSize(find_image),8,1);
cvCvtColor(find_image, find_hsv, CV_BGR2HSV);
- cvCvtPixToPlane(find_hsv, find_hue, 0, 0, 0);
- cvCalcBackProject(&find_hue, backproject, hist);
+ cvCvtPixToPlane(find_hsv, find_hplane, find_splane, 0, 0);
+ IplImage* find_planes[] = { find_hplane, find_splane };
+ cvCalcBackProject(find_planes, backproject, hist);
// Threshold in order to obtain binary image
cvThreshold(backproject, binary_backproject, 1, 255, CV_THRESH_BINARY); // NOTE it would be good to think about the best threshold to use (it's 1 for now)
cvReleaseImage(&test_image);
cvReleaseImage(&test_hsv);
- cvReleaseImage(&test_hue);
+ cvReleaseImage(&h_plane);
+ cvReleaseImage(&s_plane);
+ cvReleaseImage(&find_image);
+ cvReleaseImage(&find_hsv);
+ cvReleaseImage(&find_hplane);
+ cvReleaseImage(&find_splane);
cvReleaseImage(&backproject);
return Mat(binary_backproject);