Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/5067
Title: Feature analysis and reduction of laws texture measure
Authors: Rand, Robert S.
Shine, James A.
Keywords: Bayes Classifier
Digital imagery
Divergence
Laws texture measure
Pattern recognition
Principal components
Issue Date: Oct-1983
Publisher: U.S. Army Engineer Topographic Laboratories.
Engineer Research and Development Center (U.S.)
Series/Report no.: ETL ; 0343.
Description: Research note
Abstract: The Laws Texture Measure was tested in an autoevaluation experiment and compared to some of the texture measures previously studied at ETL. In addition, four methods of component reduction were evaluated. Laws Texture was found to be the most effective measure for identifying a Buildings/Roads class; however, it was less effective on other classes. A technique that transforms the original components into principal components and then arranges the transformed components in an order that maximizes the divergence was selected as the most effective component reduction method.
URI: http://hdl.handle.net/11681/5067
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