Reyes Aldasoro, Constantino C and Bhalerao, A (2006) The Bhattacharyya space for feature selection and its application to texture segmentation. Pattern Recognition, 39 (5). pp. 812-826. ISSN 0031-3203

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Abstract

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.

Item Type:	Article
Schools and Departments:	School of Engineering and Informatics > Engineering and Design
Depositing User:	Constantino Reyes Aldasoro
Date Deposited:	06 Feb 2012 18:24
Last Modified:	30 Nov 2012 16:59
URI:	http://sro.sussex.ac.uk/id/eprint/16123

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