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Conflicts: modules/ocl/include/opencv2/ocl/ocl.hpp modules/ocl/src/arithm.cpp modules/ocl/src/build_warps.cpp modules/ocl/src/color.cpp modules/ocl/src/haar.cpp modules/ocl/src/imgproc.cpp modules/ocl/src/split_merge.cpp modules/ocl/test/test_color.cpp samples/cpp/3calibration.cpp samples/cpp/OpenEXRimages_HDR_Retina_toneMapping.cpp samples/cpp/OpenEXRimages_HDR_Retina_toneMapping_video.cpp samples/cpp/Qt_sample/main.cpp samples/cpp/camshiftdemo.cpp samples/cpp/descriptor_extractor_matcher.cpp samples/cpp/distrans.cpp samples/cpp/generic_descriptor_match.cpp samples/cpp/grabcut.cpp samples/cpp/morphology2.cpp samples/cpp/segment_objects.cpp samples/cpp/stereo_calib.cpp samples/cpp/tutorial_code/Histograms_Matching/compareHist_Demo.cpp samples/cpp/tutorial_code/core/mat_mask_operations/mat_mask_operations.cpp samples/cpp/tutorial_code/introduction/display_image/display_image.cpp samples/cpp/tutorial_code/introduction/windows_visual_studio_Opencv/Test.cpp samples/cpp/tutorial_code/objectDetection/objectDetection.cpp samples/cpp/tutorial_code/objectDetection/objectDetection2.cpp samples/cpp/video_dmtx.cpp
348 lines
14 KiB
ReStructuredText
348 lines
14 KiB
ReStructuredText
Image Processing
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=============================
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.. highlight:: cpp
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ocl::meanShiftFiltering
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---------------------------
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Performs mean-shift filtering for each point of the source image.
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.. ocv:function:: void ocl::meanShiftFiltering(const oclMat &src, oclMat &dst, int sp, int sr, TermCriteria criteria = TermCriteria(TermCriteria::MAX_ITER + TermCriteria::EPS, 5, 1))
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:param src: Source image. Only ``CV_8UC4`` images are supported for now.
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:param dst: Destination image containing the color of mapped points. It has the same size and type as ``src`` .
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:param sp: Spatial window radius.
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:param sr: Color window radius.
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:param criteria: Termination criteria. See :ocv:class:`TermCriteria`.
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It maps each point of the source image into another point. As a result, you have a new color and new position of each point.
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ocl::meanShiftProc
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----------------------
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Performs a mean-shift procedure and stores information about processed points (their colors and positions) in two images.
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.. ocv:function:: void ocl::meanShiftProc(const oclMat &src, oclMat &dstr, oclMat &dstsp, int sp, int sr, TermCriteria criteria = TermCriteria(TermCriteria::MAX_ITER + TermCriteria::EPS, 5, 1))
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:param src: Source image. Only ``CV_8UC4`` images are supported for now.
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:param dstr: Destination image containing the color of mapped points. The size and type is the same as ``src`` .
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:param dstsp: Destination image containing the position of mapped points. The size is the same as ``src`` size. The type is ``CV_16SC2`` .
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:param sp: Spatial window radius.
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:param sr: Color window radius.
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:param criteria: Termination criteria. See :ocv:class:`TermCriteria`.
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.. seealso:: :ocv:func:`ocl::meanShiftFiltering`
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ocl::meanShiftSegmentation
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------------------------------
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Performs a mean-shift segmentation of the source image and eliminates small segments.
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.. ocv:function:: void ocl::meanShiftSegmentation(const oclMat &src, Mat &dst, int sp, int sr, int minsize, TermCriteria criteria = TermCriteria(TermCriteria::MAX_ITER + TermCriteria::EPS, 5, 1))
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:param src: Source image. Only ``CV_8UC4`` images are supported for now.
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:param dst: Segmented image with the same size and type as ``src`` .
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:param sp: Spatial window radius.
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:param sr: Color window radius.
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:param minsize: Minimum segment size. Smaller segments are merged.
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:param criteria: Termination criteria. See :ocv:class:`TermCriteria`.
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ocl::integral
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-----------------
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Computes an integral image.
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.. ocv:function:: void ocl::integral(const oclMat &src, oclMat &sum, oclMat &sqsum, int sdepth=-1)
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.. ocv:function:: void ocl::integral(const oclMat &src, oclMat &sum, int sdepth=-1)
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:param src: Source image. Only ``CV_8UC1`` images are supported for now.
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:param sum: Integral image containing 32-bit unsigned integer or 32-bit floating-point .
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:param sqsum: Sqsum values is ``CV_32FC1`` or ``CV_64FC1`` type.
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.. seealso:: :ocv:func:`integral`
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ocl::cornerHarris
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---------------------
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Returns void
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.. ocv:function:: void ocl::cornerHarris(const oclMat &src, oclMat &dst, int blockSize, int ksize, double k, int bordertype = cv::BORDER_DEFAULT)
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:param src: Source image. Only CV_8UC1 and CV_32FC1 images are supported 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, BORDER_REFLECT, BORDER_CONSTANT and BORDER_REPLICATE are supported now.
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Calculate Harris corner.
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ocl::cornerMinEigenVal
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--------------------------
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Returns void
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.. ocv:function:: void ocl::cornerMinEigenVal(const oclMat &src, oclMat &dst, int blockSize, int ksize, int bordertype = cv::BORDER_DEFAULT)
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:param src: Source image. Only CV_8UC1 and CV_32FC1 images are supported 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 bordertype: Pixel extrapolation method. Only BORDER_REFLECT101, BORDER_REFLECT, BORDER_CONSTANT and BORDER_REPLICATE are supported now.
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Calculate MinEigenVal.
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ocl::calcHist
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------------------
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Returns void
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.. ocv:function:: void ocl::calcHist(const oclMat &mat_src, oclMat &mat_hist)
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:param src: Source arrays. They all should have the same depth, CV 8U, and the same size. Each of them can have an arbitrary number of channels.
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:param dst: The output histogram, a dense or sparse dims-dimensional
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Calculates histogram of one or more arrays. Supports only 8UC1 data type.
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ocl::equalizeHist
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---------------------
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Equalizes the histogram of a grayscale image.
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.. ocv:function:: void ocl::equalizeHist(const oclMat &mat_src, oclMat &mat_dst)
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:param mat_src: Source image.
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:param mat_dst: Destination image.
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.. seealso:: :ocv:func:`equalizeHist`
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ocl::remap
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------------------
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Returns void
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.. ocv:function:: void ocl::remap(const oclMat &src, oclMat &dst, oclMat &map1, oclMat &map2, int interpolation, int bordertype, const Scalar &value = Scalar())
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:param src: Source image.
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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 map1: The first map of either (x,y) points or just x values having the type CV_16SC2 , CV_32FC1 , or CV_32FC2 . See covertMaps() for details on converting a floating point representation to fixed-point for speed.
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:param map2: The second map of y values having the type CV_32FC1 , or none (empty map if map1 is (x,y) points), respectively.
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:param interpolation: The interpolation method
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:param bordertype: Pixel extrapolation method.
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:param value: The border value if borderType==BORDER CONSTANT
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The function remap transforms the source image using the specified map: dst (x ,y) = src (map1(x , y) , map2(x , y)) where values of pixels with non-integer coordinates are computed using one of available interpolation methods. map1 and map2 can be encoded as separate floating-point maps in map1 and map2 respectively, or interleaved floating-point maps of (x,y) in map1.
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ocl::resize
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------------------
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Returns void
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.. ocv:function:: void ocl::resize(const oclMat &src, oclMat &dst, Size dsize, double fx = 0, double fy = 0, int interpolation = INTER_LINEAR)
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:param src: Source image.
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:param dst: Destination image.
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:param dsize: he destination image size. If it is zero, then it is computed as: dsize = Size(round(fx*src.cols), round(fy*src.rows)). Either dsize or both fx or fy must be non-zero.
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:param fx: The scale factor along the horizontal axis. When 0, it is computed as (double)dsize.width/src.cols
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:param fy: The scale factor along the vertical axis. When 0, it is computed as (double)dsize.height/src.rows
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:param interpolation: The interpolation method: INTER NEAREST or INTER LINEAR
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Resizes an image. Supports CV_8UC1, CV_8UC3, CV_8UC4, CV_32FC1 , CV_32FC3 and CV_32FC4 data types.
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ocl::warpAffine
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-------------------
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Returns void
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.. ocv:function:: void ocl::warpAffine(const oclMat &src, oclMat &dst, const Mat &M, Size dsize, int flags = INTER_LINEAR)
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:param src: Source image.
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:param dst: Destination image.
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:param M: 2times 3 transformation matrix
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:param dsize: Size of the destination image
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:param flags: A combination of interpolation methods, see cv::resize, and the optional flag WARP INVERSE MAP that means that M is the inverse transformation (dst to $src)
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The function warpAffine transforms the source image using the specified matrix. Supports INTER_NEAREST, INTER_LINEAR, INTER_CUBIC types.
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ocl::warpPerspective
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------------------------
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Returns void
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.. ocv:function:: void ocl::warpPerspective(const oclMat &src, oclMat &dst, const Mat &M, Size dsize, int flags = INTER_LINEAR)
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:param src: Source image.
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:param dst: Destination image.
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:param M: 2times 3 transformation matrix
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:param dsize: Size of the destination image
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:param flags: A combination of interpolation methods, see cv::resize, and the optional flag WARP INVERSE MAP that means that M is the inverse transformation (dst to $src)
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Applies a perspective transformation to an image. Supports INTER_NEAREST, INTER_LINEAR, INTER_CUBIC types.
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ocl::cvtColor
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------------------
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Returns void
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.. ocv:function:: void ocl::cvtColor(const oclMat &src, oclMat &dst, int code, int dcn = 0)
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:param src: Source image.
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:param dst: Destination image.
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:param code:The color space conversion code
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:param dcn: The number of channels in the destination image; if the parameter is 0, the number of the channels will be derived automatically from src and the code
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Converts image from one color space to another.For now, only RGB2GRAY is supportted. Supports.CV_8UC1,CV_8UC4,CV_32SC1,CV_32SC4,CV_32FC1,CV_32FC4
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ocl::threshold
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------------------
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Returns Threshold value
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.. ocv:function:: double ocl::threshold(const oclMat &src, oclMat &dst, double thresh, double maxVal, int type = THRESH_TRUNC)
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:param src: The source array
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:param dst: Destination array; will have the same size and the same type as src
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:param thresh: Threshold value
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:param maxVal: Maximum value to use with THRESH BINARY and THRESH BINARY INV thresholding types
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:param type: Thresholding type
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The function applies fixed-level thresholding to a single-channel array. The function is typically used to get a bi-level (binary) image out of a grayscale image or for removing a noise, i.e. filtering out pixels with too small or too large values. There are several types of thresholding that the function supports that are determined by thresholdType.
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ocl::buildWarpPlaneMaps
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-----------------------
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Builds plane warping maps.
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.. ocv:function:: void ocl::buildWarpPlaneMaps( Size src_size, Rect dst_roi, const Mat& K, const Mat& R, const Mat& T, float scale, oclMat& map_x, oclMat& map_y )
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ocl::buildWarpCylindricalMaps
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-----------------------------
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Builds cylindrical warping maps.
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.. ocv:function:: void ocl::buildWarpCylindricalMaps( Size src_size, Rect dst_roi, const Mat& K, const Mat& R, float scale, oclMat& map_x, oclMat& map_y )
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ocl::buildWarpSphericalMaps
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---------------------------
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Builds spherical warping maps.
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.. ocv:function:: void ocl::buildWarpSphericalMaps( Size src_size, Rect dst_roi, const Mat& K, const Mat& R, float scale, oclMat& map_x, oclMat& map_y )
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ocl::buildWarpPerspectiveMaps
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-----------------------------
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Builds transformation maps for perspective transformation.
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.. ocv:function:: void ocl::buildWarpAffineMaps(const Mat& M, bool inverse, Size dsize, oclMat& xmap, oclMat& ymap)
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:param M: *3x3* transformation matrix.
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:param inverse: Flag specifying that ``M`` is an inverse transformation ( ``dst=>src`` ).
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:param dsize: Size of the destination image.
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:param xmap: X values with ``CV_32FC1`` type.
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:param ymap: Y values with ``CV_32FC1`` type.
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.. seealso:: :ocv:func:`ocl::warpPerspective` , :ocv:func:`ocl::remap`
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ocl::buildWarpAffineMaps
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----------------------------
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Builds transformation maps for affine transformation.
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.. ocv:function:: void ocl::buildWarpAffineMaps(const Mat& M, bool inverse, Size dsize, oclMat& xmap, oclMat& ymap)
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:param M: *2x3* transformation matrix.
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:param inverse: Flag specifying that ``M`` is an inverse transformation ( ``dst=>src`` ).
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:param dsize: Size of the destination image.
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:param xmap: X values with ``CV_32FC1`` type.
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:param ymap: Y values with ``CV_32FC1`` type.
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.. seealso:: :ocv:func:`ocl::warpAffine` , :ocv:func:`ocl::remap`
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ocl::HoughCircles
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-----------------
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Finds circles in a grayscale image using the Hough transform.
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.. ocv:function:: void ocl::HoughCircles(const oclMat& src, oclMat& circles, int method, float dp, float minDist, int cannyThreshold, int votesThreshold, int minRadius, int maxRadius, int maxCircles = 4096)
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.. ocv:function:: void ocl::HoughCircles(const oclMat& src, oclMat& circles, HoughCirclesBuf& buf, int method, float dp, float minDist, int cannyThreshold, int votesThreshold, int minRadius, int maxRadius, int maxCircles = 4096)
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:param src: 8-bit, single-channel grayscale input image.
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:param circles: Output vector of found circles. Each vector is encoded as a 3-element floating-point vector :math:`(x, y, radius)` .
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:param method: Detection method to use. Currently, the only implemented method is ``CV_HOUGH_GRADIENT`` , which is basically *21HT* , described in [Yuen90]_.
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:param dp: Inverse ratio of the accumulator resolution to the image resolution. For example, if ``dp=1`` , the accumulator has the same resolution as the input image. If ``dp=2`` , the accumulator has half as big width and height.
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:param minDist: Minimum distance between the centers of the detected circles. If the parameter is too small, multiple neighbor circles may be falsely detected in addition to a true one. If it is too large, some circles may be missed.
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:param cannyThreshold: The higher threshold of the two passed to the :ocv:func:`ocl::Canny` edge detector (the lower one is twice smaller).
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:param votesThreshold: The accumulator threshold for the circle centers at the detection stage. The smaller it is, the more false circles may be detected.
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:param minRadius: Minimum circle radius.
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:param maxRadius: Maximum circle radius.
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:param maxCircles: Maximum number of output circles.
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:param buf: Optional buffer to avoid extra memory allocations (for many calls with the same sizes).
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.. note:: Currently only non-ROI oclMat is supported for src.
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.. seealso:: :ocv:func:`HoughCircles`
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