Image kernels

class Kernel(K, name=None)

__init__(K, name=None)

Convolution kernel object

Parameters:

• K (ndarray(N,M)) – kernel weighting matrix

• name (str, optional) – name of the kernel, defaults to None

Raises:

ValueError – K is not a 2D ndarray

Kernel objects are used to represent convolution kernels for image processing operations. They are created by a number of class methods that generate common kernels such as Gaussian, Laplacian, etc.

ImageCore.Image machinevisiontoolbox.ImageCore.Image machinevisiontoolbox.Image

Seealso:

Gauss Laplace Sobel DoG LoG DGauss Circle Box

Kernel
Gauss	Gaussian kernel
Laplace	Laplacian kernel
Sobel	Sobel edge detector
DoG	Difference of Gaussians kernel
LoG	Laplacian of Gaussian kernel
DGauss	Derivative of Gaussian kernel
HGauss	Hessian of Gaussian kernel
Circle	Circular structuring element
Box	Square structuring element