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added Generalized Hough implementation

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This commit is contained in:
Vladislav Vinogradov
2012-09-10 16:24:55 +04:00
parent 86c7e183d2
commit 98c92f196e
10 changed files with 4037 additions and 154 deletions
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36
modules/gpu/include/opencv2/gpu/gpu.hpp
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@@ -770,11 +770,11 @@ CV_EXPORTS void blendLinear(const GpuMat& img1, const GpuMat& img2, const GpuMat
GpuMat& result, Stream& stream = Stream::Null());
//! Performa bilateral filtering of passsed image
CV_EXPORTS void bilateralFilter(const GpuMat& src, GpuMat& dst, int kernel_size, float sigma_color, float sigma_spatial,
CV_EXPORTS void bilateralFilter(const GpuMat& src, GpuMat& dst, int kernel_size, float sigma_color, float sigma_spatial,
int borderMode = BORDER_DEFAULT, Stream& stream = Stream::Null());
//! Brute force non-local means algorith (slow but universal)
CV_EXPORTS void nonLocalMeans(const GpuMat& src, GpuMat& dst, float h,
CV_EXPORTS void nonLocalMeans(const GpuMat& src, GpuMat& dst, float h,
int search_widow_size = 11, int block_size = 7, int borderMode = BORDER_DEFAULT, Stream& s = Stream::Null());
@@ -854,6 +854,38 @@ CV_EXPORTS void HoughCircles(const GpuMat& src, GpuMat& circles, int method, flo
CV_EXPORTS void HoughCircles(const GpuMat& src, GpuMat& circles, HoughCirclesBuf& buf, int method, float dp, float minDist, int cannyThreshold, int votesThreshold, int minRadius, int maxRadius, int maxCircles = 4096);
CV_EXPORTS void HoughCirclesDownload(const GpuMat& d_circles, OutputArray h_circles);
//! finds arbitrary template in the grayscale image using Generalized Hough Transform
//! Ballard, D.H. (1981). Generalizing the Hough transform to detect arbitrary shapes. Pattern Recognition 13 (2): 111-122.
//! Guil, N., González-Linares, J.M. and Zapata, E.L. (1999). Bidimensional shape detection using an invariant approach. Pattern Recognition 32 (6): 1025-1038.
class CV_EXPORTS GeneralizedHough_GPU : public Algorithm
{
public:
static Ptr<GeneralizedHough_GPU> create(int method);
virtual ~GeneralizedHough_GPU();
//! set template to search
void setTemplate(const GpuMat& templ, int cannyThreshold = 100, Point templCenter = Point(-1, -1));
void setTemplate(const GpuMat& edges, const GpuMat& dx, const GpuMat& dy, Point templCenter = Point(-1, -1));
//! find template on image
void detect(const GpuMat& image, GpuMat& positions, int cannyThreshold = 100);
void detect(const GpuMat& edges, const GpuMat& dx, const GpuMat& dy, GpuMat& positions);
void download(const GpuMat& d_positions, OutputArray h_positions, OutputArray h_votes = noArray());
void release();
protected:
virtual void setTemplateImpl(const GpuMat& edges, const GpuMat& dx, const GpuMat& dy, Point templCenter) = 0;
virtual void detectImpl(const GpuMat& edges, const GpuMat& dx, const GpuMat& dy, GpuMat& positions) = 0;
virtual void releaseImpl() = 0;
private:
GpuMat edges_;
CannyBuf cannyBuf_;
};
////////////////////////////// Matrix reductions //////////////////////////////
//! computes mean value and standard deviation of all or selected array elements