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Run-Length Matrices For Texture Analysis

Tustison, Nicholas, Gee, James
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Published in The Insight Journal - 2008 January - June.
Submitted by Nicholas J. Tustison on 2011-05-11 11:48:55.

Texture analysis provides quantitative information describing properties in images such as coarseness and smoothness. Two common quantification schemes are based on co-occurence matrices and run-length matrices. Although the co-occurence measures are readily available in the Insight Toolkit, no such set of classes exists for run-length measures. This submission is meant to remedy this deficiency by providing a set of classes which are modeled after the ITK co-occurence measures classes.