Selective partition algorithm for finding regions of maximum pairwise dissimilarity among statistical class models

Rahman, A.F.R. and Fairhurst, M.C. (1997) Selective partition algorithm for finding regions of maximum pairwise dissimilarity among statistical class models. Pattern Recognition Letters, 18 (7). pp. 605-611. ISSN 0167-8655. (The full text of this publication is not available from this repository)

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Official URL
http://dx.doi.org/10.1016/S0167-8655(97)00047-0

Abstract

A technique for finding areas of maximum dissimilarity between the statistical models of two closely resembling classes is introduced. It is shown that this technique combines statistical and syntactic recognition techniques by extracting features from structurally distinctive regions of the models and is applicable in a variety of image classification and recognition tasks.

Item Type: Article
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Divisions: Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts
Depositing User: T.J. Sango
Date Deposited: 21 May 2009 09:08
Last Modified: 21 May 2009 09:08
Resource URI: http://kar.kent.ac.uk/id/eprint/17891 (The current URI for this page, for reference purposes)
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