The Bhattacharyya space for feature selection and its application to texture segmentation
Reyes-Aldasoro, C.C. and Bhalerao, Abhir. (2006) The Bhattacharyya space for feature selection and its application to texture segmentation. Pattern Recognition, Vol.39 (No.5). pp. 812-826. ISSN 0031-3203Full text not available from this repository.
Official URL: http://dx.doi.org/10.1016/j.patcog.2005.12.003
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|
|Journal or Publication Title:||Pattern Recognition|
|Number of Pages:||15|
|Page Range:||pp. 812-826|
|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)|
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