Creates a Gaussian Kernel. More...
AFAPI array gaussiankernel (const int rows, const int cols, const double sig_r=0, const double sig_c=0) AFAPI array gaussianKernel (const int rows, const int cols, const double sig_r=0, const double sig_c=0) C++ Interface for generating gausian kernels. More...Creates a Gaussian Kernel.
This function creates a kernel of a specified size that contains a Gaussian distribution. This distribution is normalized to one. This is most commonly used when performing a Gaussian blur on an image. The function takes two sets of arguments, the size of the kernel (width and height in pixels) and the sigma parameters (for row and column) which effect the distribution of the weights in the y and x directions, respectively.
Changing sigma causes the weights in each direction to vary. Sigma is calculated internally as (0.25 * rows + 0.75) for rows and similarly for columns.
◆ af_gaussian_kernel() AFAPI af_err af_gaussian_kernel ( af_array * out, const int rows, const int cols, const double sigma_r, const double sigma_c )C Interface generating gaussian kernels.
0, const double sig_c = 0 )
Creates a Gaussian Kernel.
This function creates a kernel of a specified size that contains a Gaussian distribution. This distribution is normalized to one. This is most commonly used when performing a Gaussian blur on an image. The function takes two sets of arguments, the size of the kernel (width and height in pixels) and the sigma parameters (for row and column) which effect the distribution of the weights in the y and x directions, respectively.
Changing sigma causes the weights in each direction to vary. Sigma is calculated internally as (0.25 * rows + 0.75) for rows and similarly for columns.
0, const double sig_c = 0 )
C++ Interface for generating gausian kernels.
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