A high-performance general-purpose compute library
gaussiankernel

Creates a Gaussian Kernel. More...

Functions

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...

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. More...

Detailed Description

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.

Parameters
 [out] out is an array with values generated using gaussian function [in] rows number of rows of the gaussian kernel [in] cols number of columns of the gaussian kernel [in] sigma_r (default 0) (calculated internally as 0.25 * rows + 0.75) [in] sigma_c (default 0) (calculated internally as 0.25 * cols + 0.75)
Returns
AF_SUCCESS if gaussian distribution values are generated successfully, otherwise an appropriate error code is returned.

◆ gaussiankernel()

 AFAPI array gaussiankernel ( const int rows, const int cols, const double sig_r = 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.

Deprecated:
 AFAPI array gaussianKernel ( const int rows, const int cols, const double sig_r = 0, const double sig_c = 0 )