The Bhattacharyya space for feature selection and its application to texture segmentation

A feature selection methodology based on a novel Bhattacharyya space is presented and illustrated with a texture segmentation problem. The Bhattacharyya space is constructed from the Bhattacharyya distances of different measurements extracted with sub-band filters from training samples. The marginal distributions of the Bhattacharyya space present a sequence of the most discriminant sub-bands that can be used as a path for a wrapper algorithm. When this feature selection is used with a multiresolution classification algorithm on a standard set of texture mosaics, it produces the lowest misclassification errors reported. 2006 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

• Type: Journal
• Year: 2006
• Where: PR
• Authors: Constantino Carlos Reyes-Aldasoro, Abhir Bhalerao
• Keywords: Bhattacharyya Space, Feature Selection, Feature Selection Methodology, PR 2006