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Open Source Computer Vision Library
https://opencv.org/
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82 lines
2.8 KiB
82 lines
2.8 KiB
12 years ago
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Feature Detection
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=================
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.. highlight:: cpp
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gpu::cornerHarris
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---------------------
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Computes the Harris cornerness criteria at each image pixel.
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.. ocv:function:: void gpu::cornerHarris(const GpuMat& src, GpuMat& dst, int blockSize, int ksize, double k, int borderType=BORDER_REFLECT101)
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:param src: Source image. Only ``CV_8UC1`` and ``CV_32FC1`` images are supported for now.
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:param dst: Destination image containing cornerness values. It has the same size as ``src`` and ``CV_32FC1`` type.
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:param blockSize: Neighborhood size.
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:param ksize: Aperture parameter for the Sobel operator.
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:param k: Harris detector free parameter.
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:param borderType: Pixel extrapolation method. Only ``BORDER_REFLECT101`` and ``BORDER_REPLICATE`` are supported for now.
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.. seealso:: :ocv:func:`cornerHarris`
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gpu::cornerMinEigenVal
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--------------------------
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Computes the minimum eigen value of a 2x2 derivative covariation matrix at each pixel (the cornerness criteria).
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.. ocv:function:: void gpu::cornerMinEigenVal(const GpuMat& src, GpuMat& dst, int blockSize, int ksize, int borderType=BORDER_REFLECT101)
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.. ocv:function:: void gpu::cornerMinEigenVal(const GpuMat& src, GpuMat& dst, GpuMat& Dx, GpuMat& Dy, int blockSize, int ksize, int borderType=BORDER_REFLECT101)
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.. ocv:function:: void gpu::cornerMinEigenVal(const GpuMat& src, GpuMat& dst, GpuMat& Dx, GpuMat& Dy, GpuMat& buf, int blockSize, int ksize, int borderType=BORDER_REFLECT101, Stream& stream = Stream::Null())
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:param src: Source image. Only ``CV_8UC1`` and ``CV_32FC1`` images are supported for now.
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:param dst: Destination image containing cornerness values. The size is the same. The type is ``CV_32FC1`` .
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:param blockSize: Neighborhood size.
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:param ksize: Aperture parameter for the Sobel operator.
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:param borderType: Pixel extrapolation method. Only ``BORDER_REFLECT101`` and ``BORDER_REPLICATE`` are supported for now.
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.. seealso:: :ocv:func:`cornerMinEigenVal`
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gpu::GoodFeaturesToTrackDetector_GPU
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------------------------------------
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.. ocv:class:: gpu::GoodFeaturesToTrackDetector_GPU
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Class used for strong corners detection on an image. ::
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class GoodFeaturesToTrackDetector_GPU
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{
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public:
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explicit GoodFeaturesToTrackDetector_GPU(int maxCorners_ = 1000, double qualityLevel_ = 0.01, double minDistance_ = 0.0,
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int blockSize_ = 3, bool useHarrisDetector_ = false, double harrisK_ = 0.04);
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void operator ()(const GpuMat& image, GpuMat& corners, const GpuMat& mask = GpuMat());
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int maxCorners;
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double qualityLevel;
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double minDistance;
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int blockSize;
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bool useHarrisDetector;
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double harrisK;
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void releaseMemory();
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};
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The class finds the most prominent corners in the image.
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.. seealso:: :ocv:func:`goodFeaturesToTrack`
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