Run-Length Matrices For Texture Analysis
Tustison N., Gee J.
University of Pennsylvania
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Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/1374
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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plus Great Contribution by Katie D'aco on 2010-02-24 13:01:00 for revision #4
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Information
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Paper Id: 231
Categories: Classification, Mathematics
Keywords: run-length, texture,
Toolkit: ITK
Revision: 5 (07-14-2010)
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Status: Open for public review
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