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335 lines
13 KiB
ReStructuredText
335 lines
13 KiB
ReStructuredText
Image Processing
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=============================
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.. highlight:: cpp
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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::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. 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 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. Only BORDER_CONSTANT are supported now.
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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. Supports CV_8UC1, CV_8UC3, CV_8UC4, CV_32FC1 , CV_32FC3 and CV_32FC4 data types.
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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. Supports only CV_32FC1 and CV_8UC1 data type.
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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::PyrLKOpticalFlow
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---------------------
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.. ocv:class:: ocl::PyrLKOpticalFlow
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Class used for calculating an optical flow. ::
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class PyrLKOpticalFlow
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{
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public:
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PyrLKOpticalFlow();
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void sparse(const oclMat& prevImg, const oclMat& nextImg, const oclMat& prevPts, oclMat& nextPts,
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oclMat& status, oclMat* err = 0);
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void dense(const oclMat& prevImg, const oclMat& nextImg, oclMat& u, oclMat& v, oclMat* err = 0);
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Size winSize;
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int maxLevel;
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int iters;
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double derivLambda;
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bool useInitialFlow;
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float minEigThreshold;
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bool getMinEigenVals;
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void releaseMemory();
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};
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The class can calculate an optical flow for a sparse feature set or dense optical flow using the iterative Lucas-Kanade method with pyramids.
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.. seealso:: :ocv:func:`calcOpticalFlowPyrLK`
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.. note::
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(Ocl) An example the Lucas Kanade optical flow pyramid method can be found at opencv_source_code/samples/ocl/pyrlk_optical_flow.cpp
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(Ocl) An example for square detection can be found at opencv_source_code/samples/ocl/squares.cpp
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ocl::PyrLKOpticalFlow::sparse
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-----------------------------
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Calculate an optical flow for a sparse feature set.
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.. ocv:function:: void ocl::PyrLKOpticalFlow::sparse(const oclMat& prevImg, const oclMat& nextImg, const oclMat& prevPts, oclMat& nextPts, oclMat& status, oclMat* err = 0)
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:param prevImg: First 8-bit input image (supports both grayscale and color images).
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:param nextImg: Second input image of the same size and the same type as ``prevImg`` .
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:param prevPts: Vector of 2D points for which the flow needs to be found. It must be one row matrix with CV_32FC2 type.
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:param nextPts: Output vector of 2D points (with single-precision floating-point coordinates) containing the calculated new positions of input features in the second image. When ``useInitialFlow`` is true, the vector must have the same size as in the input.
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:param status: Output status vector (CV_8UC1 type). Each element of the vector is set to 1 if the flow for the corresponding features has been found. Otherwise, it is set to 0.
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:param err: Output vector (CV_32FC1 type) that contains the difference between patches around the original and moved points or min eigen value if ``getMinEigenVals`` is checked. It can be NULL, if not needed.
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.. seealso:: :ocv:func:`calcOpticalFlowPyrLK`
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ocl::PyrLKOpticalFlow::dense
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-----------------------------
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Calculate dense optical flow.
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.. ocv:function:: void ocl::PyrLKOpticalFlow::dense(const oclMat& prevImg, const oclMat& nextImg, oclMat& u, oclMat& v, oclMat* err = 0)
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:param prevImg: First 8-bit grayscale input image.
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:param nextImg: Second input image of the same size and the same type as ``prevImg`` .
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:param u: Horizontal component of the optical flow of the same size as input images, 32-bit floating-point, single-channel
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:param v: Vertical component of the optical flow of the same size as input images, 32-bit floating-point, single-channel
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:param err: Output vector (CV_32FC1 type) that contains the difference between patches around the original and moved points or min eigen value if ``getMinEigenVals`` is checked. It can be NULL, if not needed.
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ocl::PyrLKOpticalFlow::releaseMemory
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------------------------------------
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Releases inner buffers memory.
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.. ocv:function:: void ocl::PyrLKOpticalFlow::releaseMemory()
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ocl::interpolateFrames
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----------------------
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Interpolate frames (images) using provided optical flow (displacement field).
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.. ocv:function:: void ocl::interpolateFrames(const oclMat& frame0, const oclMat& frame1, const oclMat& fu, const oclMat& fv, const oclMat& bu, const oclMat& bv, float pos, oclMat& newFrame, oclMat& buf)
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:param frame0: First frame (32-bit floating point images, single channel).
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:param frame1: Second frame. Must have the same type and size as ``frame0`` .
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:param fu: Forward horizontal displacement.
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:param fv: Forward vertical displacement.
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:param bu: Backward horizontal displacement.
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:param bv: Backward vertical displacement.
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:param pos: New frame position.
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:param newFrame: Output image.
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:param buf: Temporary buffer, will have width x 6*height size, CV_32FC1 type and contain 6 oclMat: occlusion masks for first frame, occlusion masks for second, interpolated forward horizontal flow, interpolated forward vertical flow, interpolated backward horizontal flow, interpolated backward vertical flow.
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