LaplacianFilter[image, r] convolves image with a range-r Laplacian kernel. LaplacianFilter[image, {r_1, r_2}] uses ranges r_i in the vertical and horizontal directions. ...

Mathematica's highly optimized filtering capabilities provide a wide range of linear and modern nonlinear local filters, as well as a variety of nonlocal filters, which can ...

Directly integrated into Mathematica's uniform architecture for handling lists of data is an array of highly optimized algorithms for transforming and smoothing datasets that ...

LaplacianGaussianFilter[image, r] convolves image with a Laplacian of Gaussian kernel of pixel radius r. LaplacianGaussianFilter[image, {r, \[Sigma]}] convolves image with a ...

RidgeFilter[image] computes a measure for the presence of a ridge for each pixel in image. RidgeFilter[image, \[Sigma]] uses the specified ridge scale \[Sigma].

Mathematica not only includes highly optimized implementations of standard image processing filters, but also uses its general symbolic architecture to allow arbitrarily ...

GaborFilter[image, r, k] filters image by convolving with a Gabor kernel of pixel radius r and wave vector k. GaborFilter[image, r, k, \[Phi]] uses a Gabor kernel with phase ...

GaussianFilter[image, r] filters image by convolving with a Gaussian kernel of pixel radius r. GaussianFilter[image, r, {n_1, n_2}] convolves image with a kernel formed from ...

Building on Mathematica's unified symbolic architecture, Mathematica 7 introduces several major new integrated forms of data manipulation—including large-scale support for ...

Mathematica provides broad and deep built-in support for both programmatic and interactive modern industrial-strength image processing—fully integrated with Mathematica's ...