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The Bhattacharyya space for feature selection and its application to texture segmentation
journal contributionposted on 2023-06-07, 19:50 authored by Constantino C Reyes Aldasoro, A Bhalerao
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.
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