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)
 Creates a Gaussian Kernel. More...
 
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.


Function Documentation

◆ 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]outis an array with values generated using gaussian function
[in]rowsnumber of rows of the gaussian kernel
[in]colsnumber 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 af::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:
Use gaussianKernel instead

◆ gaussianKernel()

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

C++ Interface for generating gausian kernels.

Parameters
[in]rowsnumber of rows of the kernel
[in]colsnumber of columns of the kernel
[in]sig_r(default 0) (calculated internally as 0.25 * rows + 0.75)
[in]sig_c(default 0) (calculated internally as 0.25 * cols + 0.75)
Returns
an array with values generated using gaussian function
Examples
computer_vision/harris.cpp, graphics/gravity_sim.cpp, image_processing/binary_thresholding.cpp, image_processing/deconvolution.cpp, image_processing/edge.cpp, image_processing/filters.cpp, image_processing/gradient_diffusion.cpp, image_processing/image_editing.cpp, and image_processing/morphing.cpp.