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BUILT-IN MATHEMATICA SYMBOL
MeanShiftFilter[image, r, d]
replaces each pixel with the mean of the pixels in a range-r neighborhood and whose value is within a distance d.
MeanShiftFilter[array, r, d]
applies mean-shift filtering to a data array.
Details and Options
- MeanShiftFilter[image, r, d] finds the mean of the pixels in
×
blocks centered on each pixel, taking into account only those pixels whose value is within a Euclidean distance d from the center pixel. - At the edges of an image, MeanShiftFilter uses smaller neighborhoods.
- MeanShiftFilter works with 3D as well as 2D images, and also with data arrays of any rank.
- MeanShiftFilter[image, {rrow, rcol}, d] uses range
in height, and 
in width. - MeanShiftFilter[image, {rslice, rrow, rcol}, d] uses range
in height, 
in depth, and 
in width. - MeanShiftFilter works with binary, grayscale, RGB, and arbitrary multichannel images.
- With a setting MaxIterations->n, at most n iterations will be performed.
- MeanShiftFilter accepts a DistanceFunction option, which can be used to specify how the distance between pixel values is computed. The default setting is DistanceFunction->EuclideanDistance.
- For a complete list of possible settings for DistanceFunction, see the reference page for MeanShift.
- The possible range for the distance parameter d depends on the distance function used as well as the dimension of the color space.
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