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

Authors:
C. C. Reyes-Aldasoro;A. Bhalerao
Affiliations:
Tumour Microcirculation Group, Academic Unit of Surgical Oncology, The University of Sheffield, Sheffield, S10 2JF, UK;Department of Computer Science, University of Warwick, Coventry, CV4 7AL, UK
Venue:
Pattern Recognition
Year:
2006

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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 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.