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OpenCV
4.10.0
Open Source Computer Vision
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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.
Classes | |
class | cv::cuda::Filter |
Common interface for all CUDA filters : More... | |
Functions | |
Ptr< Filter > | cv::cuda::createBoxFilter (int srcType, int dstType, Size ksize, Point anchor=Point(-1, -1), int borderMode=BORDER_DEFAULT, Scalar borderVal=Scalar::all(0)) |
Creates a normalized 2D box filter. | |
Ptr< Filter > | cv::cuda::createBoxMaxFilter (int srcType, Size ksize, Point anchor=Point(-1, -1), int borderMode=BORDER_DEFAULT, Scalar borderVal=Scalar::all(0)) |
Creates the maximum filter. | |
Ptr< Filter > | cv::cuda::createBoxMinFilter (int srcType, Size ksize, Point anchor=Point(-1, -1), int borderMode=BORDER_DEFAULT, Scalar borderVal=Scalar::all(0)) |
Creates the minimum filter. | |
Ptr< Filter > | cv::cuda::createColumnSumFilter (int srcType, int dstType, int ksize, int anchor=-1, int borderMode=BORDER_DEFAULT, Scalar borderVal=Scalar::all(0)) |
Creates a vertical 1D box filter. | |
Ptr< Filter > | cv::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) |
Creates a generalized Deriv operator. | |
Ptr< Filter > | cv::cuda::createGaussianFilter (int srcType, int dstType, Size ksize, double sigma1, double sigma2=0, int rowBorderMode=BORDER_DEFAULT, int columnBorderMode=-1) |
Creates a Gaussian filter. | |
Ptr< Filter > | cv::cuda::createLaplacianFilter (int srcType, int dstType, int ksize=1, double scale=1, int borderMode=BORDER_DEFAULT, Scalar borderVal=Scalar::all(0)) |
Creates a Laplacian operator. | |
Ptr< Filter > | cv::cuda::createLinearFilter (int srcType, int dstType, InputArray kernel, Point anchor=Point(-1, -1), int borderMode=BORDER_DEFAULT, Scalar borderVal=Scalar::all(0)) |
Creates a non-separable linear 2D filter. | |
Ptr< Filter > | cv::cuda::createMorphologyFilter (int op, int srcType, InputArray kernel, Point anchor=Point(-1, -1), int iterations=1) |
Creates a 2D morphological filter. | |
Ptr< Filter > | cv::cuda::createRowSumFilter (int srcType, int dstType, int ksize, int anchor=-1, int borderMode=BORDER_DEFAULT, Scalar borderVal=Scalar::all(0)) |
Creates a horizontal 1D box filter. | |
Ptr< Filter > | cv::cuda::createScharrFilter (int srcType, int dstType, int dx, int dy, double scale=1, int rowBorderMode=BORDER_DEFAULT, int columnBorderMode=-1) |
Creates a vertical or horizontal Scharr operator. | |
Ptr< Filter > | cv::cuda::createSeparableLinearFilter (int srcType, int dstType, InputArray rowKernel, InputArray columnKernel, Point anchor=Point(-1,-1), int rowBorderMode=BORDER_DEFAULT, int columnBorderMode=-1) |
Creates a separable linear filter. | |
Ptr< Filter > | cv::cuda::createSobelFilter (int srcType, int dstType, int dx, int dy, int ksize=3, double scale=1, int rowBorderMode=BORDER_DEFAULT, int columnBorderMode=-1) |
Creates a Sobel operator. | |
Ptr< Filter > cv::cuda::createBoxFilter | ( | int | srcType, |
int | dstType, | ||
Size | ksize, | ||
Point | anchor = Point(-1, -1) , |
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int | borderMode = BORDER_DEFAULT , |
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Scalar | borderVal = Scalar::all(0) |
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#include <opencv2/cudafilters.hpp>
Creates a normalized 2D box filter.
srcType | Input image type. Only CV_8UC1, CV_8UC4 and CV_32FC1 are supported for now. |
dstType | Output image type. Only the same type as src is supported for now. |
ksize | Kernel size. |
anchor | Anchor point. The default value Point(-1, -1) means that the anchor is at the kernel center. |
borderMode | Pixel extrapolation method. For details, see borderInterpolate . |
borderVal | Default border value. |
Ptr< Filter > cv::cuda::createBoxMaxFilter | ( | int | srcType, |
Size | ksize, | ||
Point | anchor = Point(-1, -1) , |
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int | borderMode = BORDER_DEFAULT , |
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Scalar | borderVal = Scalar::all(0) |
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#include <opencv2/cudafilters.hpp>
Creates the maximum filter.
srcType | Input/output image type. Only CV_8UC1 and CV_8UC4 are supported. |
ksize | Kernel size. |
anchor | Anchor point. The default value (-1) means that the anchor is at the kernel center. |
borderMode | Pixel extrapolation method. For details, see borderInterpolate . |
borderVal | Default border value. |
Ptr< Filter > cv::cuda::createBoxMinFilter | ( | int | srcType, |
Size | ksize, | ||
Point | anchor = Point(-1, -1) , |
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int | borderMode = BORDER_DEFAULT , |
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Scalar | borderVal = Scalar::all(0) |
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#include <opencv2/cudafilters.hpp>
Creates the minimum filter.
srcType | Input/output image type. Only CV_8UC1 and CV_8UC4 are supported. |
ksize | Kernel size. |
anchor | Anchor point. The default value (-1) means that the anchor is at the kernel center. |
borderMode | Pixel extrapolation method. For details, see borderInterpolate . |
borderVal | Default border value. |
Ptr< Filter > cv::cuda::createColumnSumFilter | ( | int | srcType, |
int | dstType, | ||
int | ksize, | ||
int | anchor = -1 , |
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int | borderMode = BORDER_DEFAULT , |
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Scalar | borderVal = Scalar::all(0) |
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#include <opencv2/cudafilters.hpp>
Creates a vertical 1D box filter.
srcType | Input image type. Only CV_8UC1 type is supported for now. |
dstType | Output image type. Only CV_32FC1 type is supported for now. |
ksize | Kernel size. |
anchor | Anchor point. The default value (-1) means that the anchor is at the kernel center. |
borderMode | Pixel extrapolation method. For details, see borderInterpolate . |
borderVal | Default border value. |
Ptr< Filter > cv::cuda::createDerivFilter | ( | int | srcType, |
int | dstType, | ||
int | dx, | ||
int | dy, | ||
int | ksize, | ||
bool | normalize = false , |
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double | scale = 1 , |
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int | rowBorderMode = BORDER_DEFAULT , |
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int | columnBorderMode = -1 |
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#include <opencv2/cudafilters.hpp>
Creates a generalized Deriv operator.
srcType | Source image type. |
dstType | Destination array type. |
dx | Derivative order in respect of x. |
dy | Derivative order in respect of y. |
ksize | Aperture size. See getDerivKernels for details. |
normalize | Flag indicating whether to normalize (scale down) the filter coefficients or not. See getDerivKernels for details. |
scale | Optional scale factor for the computed derivative values. By default, no scaling is applied. For details, see getDerivKernels . |
rowBorderMode | Pixel extrapolation method in the vertical direction. For details, see borderInterpolate. |
columnBorderMode | Pixel extrapolation method in the horizontal direction. |
Ptr< Filter > cv::cuda::createGaussianFilter | ( | int | srcType, |
int | dstType, | ||
Size | ksize, | ||
double | sigma1, | ||
double | sigma2 = 0 , |
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int | rowBorderMode = BORDER_DEFAULT , |
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int | columnBorderMode = -1 |
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#include <opencv2/cudafilters.hpp>
Creates a Gaussian filter.
srcType | Source image type. |
dstType | Destination array type. |
ksize | Aperture size. See getGaussianKernel for details. |
sigma1 | Gaussian sigma in the horizontal direction. See getGaussianKernel for details. |
sigma2 | Gaussian sigma in the vertical direction. If 0, then \(\texttt{sigma2}\leftarrow\texttt{sigma1}\) . |
rowBorderMode | Pixel extrapolation method in the vertical direction. For details, see borderInterpolate. |
columnBorderMode | Pixel extrapolation method in the horizontal direction. |
Ptr< Filter > cv::cuda::createLaplacianFilter | ( | int | srcType, |
int | dstType, | ||
int | ksize = 1 , |
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double | scale = 1 , |
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int | borderMode = BORDER_DEFAULT , |
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Scalar | borderVal = Scalar::all(0) |
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#include <opencv2/cudafilters.hpp>
Creates a Laplacian operator.
srcType | Input image type. Supports CV_8U , CV_16U and CV_32F one and four channel image. |
dstType | Output image type. Only the same type as src is supported for now. |
ksize | Aperture size used to compute the second-derivative filters (see getDerivKernels). It must be positive and odd. Only ksize = 1 and ksize = 3 are supported. |
scale | Optional scale factor for the computed Laplacian values. By default, no scaling is applied (see getDerivKernels ). |
borderMode | Pixel extrapolation method. For details, see borderInterpolate . |
borderVal | Default border value. |
Ptr< Filter > cv::cuda::createLinearFilter | ( | int | srcType, |
int | dstType, | ||
InputArray | kernel, | ||
Point | anchor = Point(-1, -1) , |
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int | borderMode = BORDER_DEFAULT , |
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Scalar | borderVal = Scalar::all(0) |
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#include <opencv2/cudafilters.hpp>
Creates a non-separable linear 2D filter.
srcType | Input image type. Supports CV_8U , CV_16U and CV_32F one and four channel image. |
dstType | Output image type. Only the same type as src is supported for now. |
kernel | 2D array of filter coefficients. |
anchor | Anchor point. The default value Point(-1, -1) means that the anchor is at the kernel center. |
borderMode | Pixel extrapolation method. For details, see borderInterpolate . |
borderVal | Default border value. |
Ptr< Filter > cv::cuda::createMorphologyFilter | ( | int | op, |
int | srcType, | ||
InputArray | kernel, | ||
Point | anchor = Point(-1, -1) , |
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int | iterations = 1 |
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#include <opencv2/cudafilters.hpp>
Creates a 2D morphological filter.
op | Type of morphological operation. The following types are possible:
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srcType | Input/output image type. Only CV_8UC1, CV_8UC4, CV_32FC1 and CV_32FC4 are supported. |
kernel | 2D 8-bit structuring element for the morphological operation. |
anchor | Anchor position within the structuring element. Negative values mean that the anchor is at the center. |
iterations | Number of times erosion and dilation to be applied. |
Ptr< Filter > cv::cuda::createRowSumFilter | ( | int | srcType, |
int | dstType, | ||
int | ksize, | ||
int | anchor = -1 , |
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int | borderMode = BORDER_DEFAULT , |
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Scalar | borderVal = Scalar::all(0) |
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#include <opencv2/cudafilters.hpp>
Creates a horizontal 1D box filter.
srcType | Input image type. Only CV_8UC1 type is supported for now. |
dstType | Output image type. Only CV_32FC1 type is supported for now. |
ksize | Kernel size. |
anchor | Anchor point. The default value (-1) means that the anchor is at the kernel center. |
borderMode | Pixel extrapolation method. For details, see borderInterpolate . |
borderVal | Default border value. |
Ptr< Filter > cv::cuda::createScharrFilter | ( | int | srcType, |
int | dstType, | ||
int | dx, | ||
int | dy, | ||
double | scale = 1 , |
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int | rowBorderMode = BORDER_DEFAULT , |
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int | columnBorderMode = -1 |
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#include <opencv2/cudafilters.hpp>
Creates a vertical or horizontal Scharr operator.
srcType | Source image type. |
dstType | Destination array type. |
dx | Order of the derivative x. |
dy | Order of the derivative y. |
scale | Optional scale factor for the computed derivative values. By default, no scaling is applied. See getDerivKernels for details. |
rowBorderMode | Pixel extrapolation method in the vertical direction. For details, see borderInterpolate. |
columnBorderMode | Pixel extrapolation method in the horizontal direction. |
Ptr< Filter > cv::cuda::createSeparableLinearFilter | ( | int | srcType, |
int | dstType, | ||
InputArray | rowKernel, | ||
InputArray | columnKernel, | ||
Point | anchor = Point(-1,-1) , |
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int | rowBorderMode = BORDER_DEFAULT , |
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int | columnBorderMode = -1 |
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#include <opencv2/cudafilters.hpp>
Creates a separable linear filter.
srcType | Source array type. |
dstType | Destination array type. |
rowKernel | Horizontal filter coefficients. Support kernels with size <= 32 . |
columnKernel | Vertical filter coefficients. Support kernels with size <= 32 . |
anchor | Anchor position within the kernel. Negative values mean that anchor is positioned at the aperture center. |
rowBorderMode | Pixel extrapolation method in the vertical direction For details, see borderInterpolate. |
columnBorderMode | Pixel extrapolation method in the horizontal direction. |
Ptr< Filter > cv::cuda::createSobelFilter | ( | int | srcType, |
int | dstType, | ||
int | dx, | ||
int | dy, | ||
int | ksize = 3 , |
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double | scale = 1 , |
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int | rowBorderMode = BORDER_DEFAULT , |
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int | columnBorderMode = -1 |
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#include <opencv2/cudafilters.hpp>
Creates a Sobel operator.
srcType | Source image type. |
dstType | Destination array type. |
dx | Derivative order in respect of x. |
dy | Derivative order in respect of y. |
ksize | Size of the extended Sobel kernel. Possible values are 1, 3, 5 or 7. |
scale | Optional scale factor for the computed derivative values. By default, no scaling is applied. For details, see getDerivKernels . |
rowBorderMode | Pixel extrapolation method in the vertical direction. For details, see borderInterpolate. |
columnBorderMode | Pixel extrapolation method in the horizontal direction. |