ImageFilter[f, image, r] applies the function f to the range-r neighborhood of each pixel in each channel of image.

Masking is an option for various image analysis and processing functions that specifies on which regions they should operate.

Mathematica not only includes highly optimized implementations of standard image restoration filters, but also provides sophisticated functions and algorithms allowing ...

GeometricMeanFilter[image, r] filters image by replacing every value by the geometric mean of the values in its range-r neighborhood. GeometricMeanFilter[data, r] applies ...

HarmonicMeanFilter[image, r] filters image by replacing every value by the harmonic mean of the values in its range-r neighborhood. HarmonicMeanFilter[data, r] applies ...

KuwaharaFilter[image, r] computes for each pixel p in image the variance of the values in the four (r + 1)*(r + 1) squares that have p as a corner, and replaces p with the ...

StandardDeviationFilter[image, r] filters image by replacing every value by the standard deviations of the values in its range r neighborhood. StandardDeviationFilter[data, ...

Using a variety of state-of-the-art methods, Mathematica provides immediate functions for detecting and extracting features in images and other arrays of data. Mathematica ...

EntropyFilter[image, r] filters image by replacing every value by the information entropy of the values in its range r neighborhood. EntropyFilter[data, r] applies entropy ...

MaxFilter[image, r] filters image by replacing every value by the maximum in its range-r neighborhood. MaxFilter[data, r] applies max filtering to an array of data.