Texture Analysis Using Adaptive Biorthogonal Wavelet Packets

Abhayaratne, G.C.K.; Jermyn, I.H.; Zentbia, J.

Abstract

We discuss the use of adaptive biorthogonal wavelet packet bases in a probabilistic approach to texture analysis, thus combining the advantages of biorthogonal wavelets (FIR, linear phase) with those of a coherent texture model. The computation of the probability uses both the primal and dual coefficients of the adapted biorthogonal wavelet packet basis. The computation of the biorthogonal wavelet packet coefficients is done using a lifting scheme, which is very efficient. The model is applied to the classification of mosaics of Brodatz textures, the results showing improvement over the performance of the corresponding orthogonal wavelets.

Citation

Abhayaratne, G., Jermyn, I., & Zentbia, J. (2004, October). Texture Analysis Using Adaptive Biorthogonal Wavelet Packets. Presented at 2004 IEEE International Conference on Image Processing (ICIP), Singapore

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2004 IEEE International Conference on Image Processing (ICIP)
• Start Date: Oct 24, 2004
• End Date: Oct 27, 2004
• Publication Date: Oct 27, 2004
• Deposit Date: Aug 12, 2011
• Publicly Available Date: May 13, 2016
• Publisher: Institute of Electrical and Electronics Engineers
• Volume: 2
• Pages: 1197-1200
• Series ISSN: 1522-4880
• Book Title: 2004 International Conference on Image Processing : proceedings : (ICIP) : 24-27 October 2004, Singapore.
• DOI: https://doi.org/10.1109/icip.2004.1419519
• Public URL: https://durham-repository.worktribe.com/output/1158620
• Additional Information: Date of Conference: 24-27 Oct. 2004