GradientFilter[image, r] gives an image corresponding to the magnitude of the gradient of image, computed using discrete derivatives of a Gaussian of pixel radius ...

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 ...

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 ...

Mathematica includes a variety of image segmentation techniques such as clustering, watershed, region growing, and level set as well as a rich set of functions for ...

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

MorphologicalPerimeter[image] picks out the morphological perimeter of regions of foreground in image.MorphologicalPerimeter[image, t] treats values above t as foreground.

RangeFilter[image, r] filters image by replacing every pixel by the difference of the maximum and minimum in its range r neighborhood. RangeFilter[data, r] applies a range ...

WatershedComponents[image] computes the watershed transform of image, returning the result as a matrix in which positive integers label the catchment ...

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

ImageConvolve[image, ker] gives the convolution of image with kernel ker.