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2006

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

8 years 8 months ago
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.
Constantino Carlos Reyes-Aldasoro, Abhir Bhalerao
Added 14 Dec 2010
Updated 14 Dec 2010
Type Journal
Year 2006
Where PR
Authors Constantino Carlos Reyes-Aldasoro, Abhir Bhalerao
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