
Run-Length Matrices For Texture Analysis
Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/1374 |
Published in The Insight Journal - 2008 January - June.
Submitted by Nick Tustison on 05-27-2008.
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.
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Categories: | Classification, Mathematics |
Keywords: | run-length, texture |
Toolkits: | ITK |
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![]() by Vercauteren T., Pennec X., Perchant A., Ayache N.
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![]() by Tustison N., Gee J.
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