Logarithmic quantisation of wavelet coefficients for improved texture classification performance

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Title Logarithmic quantisation of wavelet coefficients for improved texture classification performance
Author Busch, Andrew William; Boles, Wageeh W.; Sridharan, Sridha
Publication Title 2004 IEEE International Conference on Acoustics, Speech and Signal Processing
Year Published 2004
Place of publication Piscataway, NJ, USA
Publisher IEEE
Abstract The coefficients of the wavelet transform have been widely used for texture analysis tasks, including segmentation, classification and synthesis. Second order statistics of such values have been shown to give excellent performance in these applications, and are typically calculated using co-occurrence matrices, which require quantisation of the coefficients. In this paper, we propose a non-linear quantisation function which is experimentally shown to better characterise textured images, and use this to formulate a new set of texture features, the wavelet log co-occurrence signatures.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1109/ICASSP.2004.1326608
Copyright Statement Copyright 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
ISBN 0780384849
Conference name 2004 IEEE International Conference on Acoustics, Speech and Signal Processing
Location Montreal, Canada
Date From 2004-05-17
Date To 2004-05-21
URI http://hdl.handle.net/10072/32861
Date Accessioned 2006-07-06
Language en_AU
Faculty Faculty of Science, Environment, Engineering and Technology
Subject PRE2009-Computer Vision; PRE2009-Image Processing
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1x

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