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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
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 | ||||||||
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| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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| 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: |
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| Date of first compliant deposit: | 16 December 2015 | ||||||||
| 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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