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Structure Matrices & Convolution Kernels
MATHEMATICA GUIDE
Structure Matrices & Convolution Kernels
Mathematica provides built-in functions for generating standard structure matrices and convolution kernels in any number of dimensions, in a form that can be used directly in image processing, linear algebra, or other applications.
ReferenceReference
Shape Matrices
DiskMatrix —
BoxMatrix —
CrossMatrix —
DiamondMatrix — ![]()
Convolution Kernels
GaussianMatrix — Gaussian and Gaussian derivatives
ShenCastanMatrix — exponential and exponential derivatives
GaborMatrix — Gabor kernel
IdentityMatrix ▪ DiagonalMatrix
ConstantArray — constant array
SparseArray — arbitrary sparse array
ArrayFlatten — form a matrix from tiles
ArrayPad — add padding to an array
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