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Merge pull request #3443 from HelenWong:bug3363Fix

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This commit is contained in:
Vadim Pisarevsky
2014-12-02 09:14:36 +00:00
parent f61db41d25 e88bf2bc30
commit be5c910358
2 changed files with 13 additions and 5 deletions
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modules/imgproc/src/hough.cpp
+10 -2
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@@ -1,4 +1,4 @@
/*M///////////////////////////////////////////////////////////////////////////////////////
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
@@ -1024,10 +1024,14 @@ icvHoughCirclesGradient( CvMat* img, float dp, float min_dist,
CvSeqReader reader;
edges.reset(cvCreateMat( img->rows, img->cols, CV_8UC1 ));
// Use the Canny Edge Detector to detect all the edges in the image.
cvCanny( img, edges, MAX(canny_threshold/2,1), canny_threshold, 3 );
dx.reset(cvCreateMat( img->rows, img->cols, CV_16SC1 ));
dy.reset(cvCreateMat( img->rows, img->cols, CV_16SC1 ));
/*Use the Sobel Derivative to compute the local gradient of all the non-zero pixels in the edge image.*/
cvSobel( img, dx, 1, 0, 3 );
cvSobel( img, dy, 0, 1, 3 );
@@ -1038,6 +1042,8 @@ icvHoughCirclesGradient( CvMat* img, float dp, float min_dist,
cvZero(accum);
storage.reset(cvCreateMemStorage());
/* Create sequences for the nonzero pixels in the edge image and the centers of circles
which could be detected.*/
nz = cvCreateSeq( CV_32SC2, sizeof(CvSeq), sizeof(CvPoint), storage );
centers = cvCreateSeq( CV_32SC1, sizeof(CvSeq), sizeof(int), storage );
@@ -1118,7 +1124,8 @@ icvHoughCirclesGradient( CvMat* img, float dp, float min_dist,
sort_buf.resize( MAX(center_count,nz_count) );
cvCvtSeqToArray( centers, &sort_buf[0] );
/*Sort candidate centers in descending order of their accumulator values, so that the centers
with the most supporting pixels appear first.*/
std::sort(sort_buf.begin(), sort_buf.begin() + center_count, cv::hough_cmp_gt(adata));
cvClearSeq( centers );
cvSeqPushMulti( centers, &sort_buf[0], center_count );
@@ -1173,6 +1180,7 @@ icvHoughCirclesGradient( CvMat* img, float dp, float min_dist,
continue;
dist_buf->cols = nz_count1;
cvPow( dist_buf, dist_buf, 0.5 );
// Sort non-zero pixels according to their distance from the center.
std::sort(sort_buf.begin(), sort_buf.begin() + nz_count1, cv::hough_cmp_gt((int*)ddata));
dist_sum = start_dist = ddata[sort_buf[nz_count1-1]];