Reyes-Aldasoro, C.C. and Bhalerao, Abhir. (2006) The Bhattacharyya space for feature selection and its application to texture segmentation. Pattern Recognition, Vol.39 (No.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 discrimmant 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. (c) 2006 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

Item Type:	Journal Article
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Science > Computer Science
Journal or Publication Title:	Pattern Recognition
Publisher:	Pergamon
ISSN:	0031-3203
Date:	May 2006
Volume:	Vol.39
Number:	No.5
Number of Pages:	15
Page Range:	pp. 812-826
Identification Number:	10.1016/j.patcog.2005.12.003
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Funder:	Instituto Tecnológico Autónomo de México (ITAM), Consejo Nacional de Ciencia y Tecnología (Mexico) [Mexican Council for Science and Technology] (CONACYT)
URI:	http://wrap.warwick.ac.uk/id/eprint/33763

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