A novel information theoretic approach to wavelet feature selection for texture classification

A novel information theoretic approach to wavelet feature selection for texture classification

In this research we address the problem of discriminant subband selection for texture classification. A novel Effective Information based Subband Selection (EISS) algorithm is proposed which utilizes the intra-class and inter-class distributions. Essentially these distributions are used to calculate...

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Bibliographic Details
Main Authors: Naseem, Imran, Pham, DucSon, Venkatesh, S
Format: Journal Article
Published: Elsevier 2012
Subjects:
mutual information
texture classification
effective information
Online Access:http://hdl.handle.net/20.500.11937/2810

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