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

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 ...

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 ...

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 ...

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

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 ...

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

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.

MedianFilter[image, r] filters image by replacing every value by the median in its range r neighborhood. MedianFilter[data, r] applies median filtering to an array of data.