MeanFilter[image, r] filters image by replacing every value by the mean value in its range r neighborhood. MeanFilter[data, r] applies mean filtering to an array of data.
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 ...
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 ...
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 ...
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.
MinFilter[image, r] filters image by replacing every value by the minimum in its range r neighborhood. MinFilter[data, r] applies min filtering to an array of data.
Mathematica not only includes highly optimized implementations of standard image processing filters, but also uses its general symbolic architecture to allow arbitrarily ...
Mathematica has powerful capabilities for explicit signal processing with large volumes of data, imported and exported in many formats, and for symbolic analysis of signal ...