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204 lines
8.0 KiB
ReStructuredText
204 lines
8.0 KiB
ReStructuredText
Image Processing
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================
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.. highlight:: cpp
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gpu::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 gpu::meanShiftFiltering( const GpuMat& src, GpuMat& dst, int sp, int sr, TermCriteria criteria=TermCriteria(TermCriteria::MAX_ITER + TermCriteria::EPS, 5, 1), Stream& stream=Stream::Null() )
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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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gpu::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 gpu::meanShiftProc( const GpuMat& src, GpuMat& dstr, GpuMat& dstsp, int sp, int sr, TermCriteria criteria=TermCriteria(TermCriteria::MAX_ITER + TermCriteria::EPS, 5, 1), Stream& stream=Stream::Null() )
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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:`gpu::meanShiftFiltering`
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gpu::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 gpu::meanShiftSegmentation(const GpuMat& 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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gpu::MatchTemplateBuf
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---------------------
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.. ocv:struct:: gpu::MatchTemplateBuf
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Class providing memory buffers for :ocv:func:`gpu::matchTemplate` function, plus it allows to adjust some specific parameters. ::
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struct CV_EXPORTS MatchTemplateBuf
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{
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Size user_block_size;
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GpuMat imagef, templf;
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std::vector<GpuMat> images;
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std::vector<GpuMat> image_sums;
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std::vector<GpuMat> image_sqsums;
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};
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You can use field `user_block_size` to set specific block size for :ocv:func:`gpu::matchTemplate` function. If you leave its default value `Size(0,0)` then automatic estimation of block size will be used (which is optimized for speed). By varying `user_block_size` you can reduce memory requirements at the cost of speed.
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gpu::matchTemplate
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----------------------
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Computes a proximity map for a raster template and an image where the template is searched for.
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.. ocv:function:: void gpu::matchTemplate(const GpuMat& image, const GpuMat& templ, GpuMat& result, int method, Stream &stream = Stream::Null())
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.. ocv:function:: void gpu::matchTemplate(const GpuMat& image, const GpuMat& templ, GpuMat& result, int method, MatchTemplateBuf &buf, Stream& stream = Stream::Null())
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:param image: Source image. ``CV_32F`` and ``CV_8U`` depth images (1..4 channels) are supported for now.
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:param templ: Template image with the size and type the same as ``image`` .
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:param result: Map containing comparison results ( ``CV_32FC1`` ). If ``image`` is *W x H* and ``templ`` is *w x h*, then ``result`` must be *W-w+1 x H-h+1*.
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:param method: Specifies the way to compare the template with the image.
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:param buf: Optional buffer to avoid extra memory allocations and to adjust some specific parameters. See :ocv:struct:`gpu::MatchTemplateBuf`.
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:param stream: Stream for the asynchronous version.
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The following methods are supported for the ``CV_8U`` depth images for now:
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* ``CV_TM_SQDIFF``
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* ``CV_TM_SQDIFF_NORMED``
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* ``CV_TM_CCORR``
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* ``CV_TM_CCORR_NORMED``
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* ``CV_TM_CCOEFF``
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* ``CV_TM_CCOEFF_NORMED``
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The following methods are supported for the ``CV_32F`` images for now:
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* ``CV_TM_SQDIFF``
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* ``CV_TM_CCORR``
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.. seealso:: :ocv:func:`matchTemplate`
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gpu::Canny
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-------------------
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Finds edges in an image using the [Canny86]_ algorithm.
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.. ocv:function:: void gpu::Canny(const GpuMat& image, GpuMat& edges, double low_thresh, double high_thresh, int apperture_size = 3, bool L2gradient = false)
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.. ocv:function:: void gpu::Canny(const GpuMat& image, CannyBuf& buf, GpuMat& edges, double low_thresh, double high_thresh, int apperture_size = 3, bool L2gradient = false)
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.. ocv:function:: void gpu::Canny(const GpuMat& dx, const GpuMat& dy, GpuMat& edges, double low_thresh, double high_thresh, bool L2gradient = false)
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.. ocv:function:: void gpu::Canny(const GpuMat& dx, const GpuMat& dy, CannyBuf& buf, GpuMat& edges, double low_thresh, double high_thresh, bool L2gradient = false)
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:param image: Single-channel 8-bit input image.
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:param dx: First derivative of image in the vertical direction. Support only ``CV_32S`` type.
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:param dy: First derivative of image in the horizontal direction. Support only ``CV_32S`` type.
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:param edges: Output edge map. It has the same size and type as ``image`` .
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:param low_thresh: First threshold for the hysteresis procedure.
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:param high_thresh: Second threshold for the hysteresis procedure.
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:param apperture_size: Aperture size for the :ocv:func:`Sobel` operator.
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:param L2gradient: Flag indicating whether a more accurate :math:`L_2` norm :math:`=\sqrt{(dI/dx)^2 + (dI/dy)^2}` should be used to compute the image gradient magnitude ( ``L2gradient=true`` ), or a faster default :math:`L_1` norm :math:`=|dI/dx|+|dI/dy|` is enough ( ``L2gradient=false`` ).
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:param buf: Optional buffer to avoid extra memory allocations (for many calls with the same sizes).
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.. seealso:: :ocv:func:`Canny`
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gpu::bilateralFilter
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--------------------
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Performs bilateral filtering of passed image
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.. ocv:function:: void gpu::bilateralFilter( const GpuMat& src, GpuMat& dst, int kernel_size, float sigma_color, float sigma_spatial, int borderMode=BORDER_DEFAULT, Stream& stream=Stream::Null() )
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:param src: Source image. Supports only (channles != 2 && depth() != CV_8S && depth() != CV_32S && depth() != CV_64F).
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:param dst: Destination imagwe.
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:param kernel_size: Kernel window size.
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:param sigma_color: Filter sigma in the color space.
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:param sigma_spatial: Filter sigma in the coordinate space.
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:param borderMode: Border type. See :ocv:func:`borderInterpolate` for details. ``BORDER_REFLECT101`` , ``BORDER_REPLICATE`` , ``BORDER_CONSTANT`` , ``BORDER_REFLECT`` and ``BORDER_WRAP`` are supported for now.
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:param stream: Stream for the asynchronous version.
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.. seealso::
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:ocv:func:`bilateralFilter`
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gpu::blendLinear
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-------------------
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Performs linear blending of two images.
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.. ocv:function:: void gpu::blendLinear(const GpuMat& img1, const GpuMat& img2, const GpuMat& weights1, const GpuMat& weights2, GpuMat& result, Stream& stream = Stream::Null())
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:param img1: First image. Supports only ``CV_8U`` and ``CV_32F`` depth.
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:param img2: Second image. Must have the same size and the same type as ``img1`` .
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:param weights1: Weights for first image. Must have tha same size as ``img1`` . Supports only ``CV_32F`` type.
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:param weights2: Weights for second image. Must have tha same size as ``img2`` . Supports only ``CV_32F`` type.
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:param result: Destination image.
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:param stream: Stream for the asynchronous version.
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