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

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Reyes-Aldasoro, Constantino Carlos and Bhalerao, Abhir (2006) The Bhattacharyya space for feature selection and its application to texture segmentation. Pattern Recognition, Volume 39 (Number 5). pp. 812-826. doi:10.1016/j.patcog.2005.12.003

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Official URL: http://dx.doi.org/10.1016/j.patcog.2005.12.003

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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
Library of Congress Subject Headings (LCSH): Optical pattern recognition, Pattern perception, Image processing, Computer vision
Journal or Publication Title: Pattern Recognition
Publisher: Pergamon
ISSN: 0031-3203
Official Date: May 2006
Dates:
DateEvent
May 2006Published
2 December 2005Available
1 August 2005Submitted
Volume: Volume 39
Number: Number 5
Number of Pages: 15
Page Range: pp. 812-826
DOI: 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)

Data sourced from Thomson Reuters' Web of Knowledge

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