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Maksim Shabunin
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*********************************************
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cudafilters. CUDA-accelerated Image Filtering
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*********************************************
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.. toctree::
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:maxdepth: 1
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filtering
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Image Filtering
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===============
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.. highlight:: cpp
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Functions and classes described in this section are used to perform various linear or non-linear filtering operations on 2D images.
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.. note::
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* An example containing all basic morphology operators like erode and dilate can be found at opencv_source_code/samples/gpu/morphology.cpp
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cuda::Filter
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------------
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.. ocv:class:: cuda::Filter
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Common interface for all CUDA filters ::
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class CV_EXPORTS Filter : public Algorithm
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{
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public:
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virtual void apply(InputArray src, OutputArray dst, Stream& stream = Stream::Null()) = 0;
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};
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cuda::Filter::apply
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-------------------
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Applies the specified filter to the image.
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.. ocv:function:: void cuda::Filter::apply(InputArray src, OutputArray dst, Stream& stream = Stream::Null()) = 0
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:param src: Input image.
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:param dst: Output image.
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:param stream: Stream for the asynchronous version.
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cuda::createBoxFilter
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---------------------
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Creates a normalized 2D box filter.
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.. ocv:function:: Ptr<Filter> cuda::createBoxFilter(int srcType, int dstType, Size ksize, Point anchor = Point(-1,-1), int borderMode = BORDER_DEFAULT, Scalar borderVal = Scalar::all(0))
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:param srcType: Input image type. Only ``CV_8UC1`` and ``CV_8UC4`` are supported for now.
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:param dstType: Output image type. Only the same type as ``src`` is supported for now.
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:param ksize: Kernel size.
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:param anchor: Anchor point. The default value ``Point(-1, -1)`` means that the anchor is at the kernel center.
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:param borderMode: Pixel extrapolation method. For details, see :ocv:func:`borderInterpolate` .
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:param borderVal: Default border value.
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.. seealso:: :ocv:func:`boxFilter`
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cuda::createLinearFilter
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------------------------
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Creates a non-separable linear 2D filter.
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.. ocv:function:: Ptr<Filter> cuda::createLinearFilter(int srcType, int dstType, InputArray kernel, Point anchor = Point(-1,-1), int borderMode = BORDER_DEFAULT, Scalar borderVal = Scalar::all(0))
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:param srcType: Input image type. Supports ``CV_8U`` , ``CV_16U`` and ``CV_32F`` one and four channel image.
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:param dstType: Output image type. Only the same type as ``src`` is supported for now.
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:param kernel: 2D array of filter coefficients.
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:param anchor: Anchor point. The default value Point(-1, -1) means that the anchor is at the kernel center.
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:param borderMode: Pixel extrapolation method. For details, see :ocv:func:`borderInterpolate` .
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:param borderVal: Default border value.
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.. seealso:: :ocv:func:`filter2D`
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cuda::createLaplacianFilter
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---------------------------
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Creates a Laplacian operator.
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.. ocv:function:: Ptr<Filter> cuda::createLaplacianFilter(int srcType, int dstType, int ksize = 1, double scale = 1, int borderMode = BORDER_DEFAULT, Scalar borderVal = Scalar::all(0))
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:param srcType: Input image type. Supports ``CV_8U`` , ``CV_16U`` and ``CV_32F`` one and four channel image.
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:param dstType: Output image type. Only the same type as ``src`` is supported for now.
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:param ksize: Aperture size used to compute the second-derivative filters (see :ocv:func:`getDerivKernels`). It must be positive and odd. Only ``ksize`` = 1 and ``ksize`` = 3 are supported.
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:param scale: Optional scale factor for the computed Laplacian values. By default, no scaling is applied (see :ocv:func:`getDerivKernels` ).
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:param borderMode: Pixel extrapolation method. For details, see :ocv:func:`borderInterpolate` .
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:param borderVal: Default border value.
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.. seealso:: :ocv:func:`Laplacian`
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cuda::createSeparableLinearFilter
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---------------------------------
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Creates a separable linear filter.
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.. ocv:function:: Ptr<Filter> cuda::createSeparableLinearFilter(int srcType, int dstType, InputArray rowKernel, InputArray columnKernel, Point anchor = Point(-1,-1), int rowBorderMode = BORDER_DEFAULT, int columnBorderMode = -1)
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:param srcType: Source array type.
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:param dstType: Destination array type.
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:param rowKernel: Horizontal filter coefficients. Support kernels with ``size <= 32`` .
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:param columnKernel: Vertical filter coefficients. Support kernels with ``size <= 32`` .
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:param anchor: Anchor position within the kernel. Negative values mean that anchor is positioned at the aperture center.
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:param rowBorderMode: Pixel extrapolation method in the vertical direction For details, see :ocv:func:`borderInterpolate`.
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:param columnBorderMode: Pixel extrapolation method in the horizontal direction.
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.. seealso:: :ocv:func:`sepFilter2D`
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cuda::createDerivFilter
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-----------------------
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Creates a generalized Deriv operator.
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.. ocv:function:: Ptr<Filter> cuda::createDerivFilter(int srcType, int dstType, int dx, int dy, int ksize, bool normalize = false, double scale = 1, int rowBorderMode = BORDER_DEFAULT, int columnBorderMode = -1)
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:param srcType: Source image type.
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:param dstType: Destination array type.
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:param dx: Derivative order in respect of x.
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:param dy: Derivative order in respect of y.
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:param ksize: Aperture size. See :ocv:func:`getDerivKernels` for details.
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:param normalize: Flag indicating whether to normalize (scale down) the filter coefficients or not. See :ocv:func:`getDerivKernels` for details.
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:param scale: Optional scale factor for the computed derivative values. By default, no scaling is applied. For details, see :ocv:func:`getDerivKernels` .
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:param rowBorderMode: Pixel extrapolation method in the vertical direction. For details, see :ocv:func:`borderInterpolate`.
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:param columnBorderMode: Pixel extrapolation method in the horizontal direction.
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cuda::createSobelFilter
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-----------------------
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Creates a Sobel operator.
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.. ocv:function:: Ptr<Filter> cuda::createSobelFilter(int srcType, int dstType, int dx, int dy, int ksize = 3, double scale = 1, int rowBorderMode = BORDER_DEFAULT, int columnBorderMode = -1)
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:param srcType: Source image type.
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:param dstType: Destination array type.
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:param dx: Derivative order in respect of x.
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:param dy: Derivative order in respect of y.
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:param ksize: Size of the extended Sobel kernel. Possible values are 1, 3, 5 or 7.
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:param scale: Optional scale factor for the computed derivative values. By default, no scaling is applied. For details, see :ocv:func:`getDerivKernels` .
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:param rowBorderMode: Pixel extrapolation method in the vertical direction. For details, see :ocv:func:`borderInterpolate`.
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:param columnBorderMode: Pixel extrapolation method in the horizontal direction.
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.. seealso:: :ocv:func:`Sobel`
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cuda::createScharrFilter
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------------------------
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Creates a vertical or horizontal Scharr operator.
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.. ocv:function:: Ptr<Filter> cuda::createScharrFilter(int srcType, int dstType, int dx, int dy, double scale = 1, int rowBorderMode = BORDER_DEFAULT, int columnBorderMode = -1)
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:param srcType: Source image type.
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:param dstType: Destination array type.
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:param dx: Order of the derivative x.
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:param dy: Order of the derivative y.
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:param scale: Optional scale factor for the computed derivative values. By default, no scaling is applied. See :ocv:func:`getDerivKernels` for details.
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:param rowBorderMode: Pixel extrapolation method in the vertical direction. For details, see :ocv:func:`borderInterpolate`.
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:param columnBorderMode: Pixel extrapolation method in the horizontal direction.
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.. seealso:: :ocv:func:`Scharr`
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cuda::createGaussianFilter
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--------------------------
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Creates a Gaussian filter.
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.. ocv:function:: Ptr<Filter> cuda::createGaussianFilter(int srcType, int dstType, Size ksize, double sigma1, double sigma2 = 0, int rowBorderMode = BORDER_DEFAULT, int columnBorderMode = -1)
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:param srcType: Source image type.
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:param dstType: Destination array type.
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:param ksize: Aperture size. See :ocv:func:`getGaussianKernel` for details.
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:param sigma1: Gaussian sigma in the horizontal direction. See :ocv:func:`getGaussianKernel` for details.
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:param sigma2: Gaussian sigma in the vertical direction. If 0, then :math:`\texttt{sigma2}\leftarrow\texttt{sigma1}` .
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:param rowBorderMode: Pixel extrapolation method in the vertical direction. For details, see :ocv:func:`borderInterpolate`.
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:param columnBorderMode: Pixel extrapolation method in the horizontal direction.
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.. seealso:: :ocv:func:`GaussianBlur`
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cuda::createMorphologyFilter
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----------------------------
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Creates a 2D morphological filter.
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.. ocv:function:: Ptr<Filter> cuda::createMorphologyFilter(int op, int srcType, InputArray kernel, Point anchor = Point(-1, -1), int iterations = 1)
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:param op: Type of morphological operation. The following types are possible:
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* **MORPH_ERODE** erode
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* **MORPH_DILATE** dilate
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* **MORPH_OPEN** opening
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* **MORPH_CLOSE** closing
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* **MORPH_GRADIENT** morphological gradient
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* **MORPH_TOPHAT** "top hat"
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* **MORPH_BLACKHAT** "black hat"
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:param srcType: Input/output image type. Only ``CV_8UC1`` and ``CV_8UC4`` are supported.
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:param kernel: 2D 8-bit structuring element for the morphological operation.
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:param anchor: Anchor position within the structuring element. Negative values mean that the anchor is at the center.
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:param iterations: Number of times erosion and dilation to be applied.
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.. seealso:: :ocv:func:`morphologyEx`
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cuda::createBoxMaxFilter
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------------------------
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Creates the maximum filter.
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.. ocv:function:: Ptr<Filter> cuda::createBoxMaxFilter(int srcType, Size ksize, Point anchor = Point(-1, -1), int borderMode = BORDER_DEFAULT, Scalar borderVal = Scalar::all(0))
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:param srcType: Input/output image type. Only ``CV_8UC1`` and ``CV_8UC4`` are supported.
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:param ksize: Kernel size.
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:param anchor: Anchor point. The default value (-1) means that the anchor is at the kernel center.
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:param borderMode: Pixel extrapolation method. For details, see :ocv:func:`borderInterpolate` .
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:param borderVal: Default border value.
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cuda::createBoxMinFilter
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------------------------
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Creates the minimum filter.
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.. ocv:function:: Ptr<Filter> cuda::createBoxMinFilter(int srcType, Size ksize, Point anchor = Point(-1, -1), int borderMode = BORDER_DEFAULT, Scalar borderVal = Scalar::all(0))
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:param srcType: Input/output image type. Only ``CV_8UC1`` and ``CV_8UC4`` are supported.
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:param ksize: Kernel size.
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:param anchor: Anchor point. The default value (-1) means that the anchor is at the kernel center.
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:param borderMode: Pixel extrapolation method. For details, see :ocv:func:`borderInterpolate` .
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:param borderVal: Default border value.
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cuda::createRowSumFilter
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------------------------
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Creates a horizontal 1D box filter.
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.. ocv:function:: Ptr<Filter> cuda::createRowSumFilter(int srcType, int dstType, int ksize, int anchor = -1, int borderMode = BORDER_DEFAULT, Scalar borderVal = Scalar::all(0))
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:param srcType: Input image type. Only ``CV_8UC1`` type is supported for now.
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:param sumType: Output image type. Only ``CV_32FC1`` type is supported for now.
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:param ksize: Kernel size.
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:param anchor: Anchor point. The default value (-1) means that the anchor is at the kernel center.
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:param borderMode: Pixel extrapolation method. For details, see :ocv:func:`borderInterpolate` .
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:param borderVal: Default border value.
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cuda::createColumnSumFilter
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---------------------------
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Creates a vertical 1D box filter.
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.. ocv:function:: Ptr<Filter> cuda::createColumnSumFilter(int srcType, int dstType, int ksize, int anchor = -1, int borderMode = BORDER_DEFAULT, Scalar borderVal = Scalar::all(0))
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:param srcType: Input image type. Only ``CV_8UC1`` type is supported for now.
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:param sumType: Output image type. Only ``CV_32FC1`` type is supported for now.
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:param ksize: Kernel size.
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:param anchor: Anchor point. The default value (-1) means that the anchor is at the kernel center.
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:param borderMode: Pixel extrapolation method. For details, see :ocv:func:`borderInterpolate` .
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:param borderVal: Default border value.
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