Effect of wavelet bases in texture classification using a tree-structured wavelet transform

Author

DeBrunner, Victor ; Kadiyala, Madhavi

Author_Institution

Sch. of Electr. & Comput. Eng., Oklahoma Univ., Norman, OK, USA

Volume

2

fYear

1999

fDate

24-27 Oct. 1999

Firstpage

1292

Abstract

A number of algorithms have been developed in the past for texture analysis and classification using the wavelet transform. In this paper we explore the effect of different wavelet bases on the classification performance. We use the algorithm developed by T. Chang and C.-C. Jay Kuo (see IEEE Trans. Image Process., vol.2, no.4, p.429-41, Oct. 1993) for texture analysis and classification with a tree-structured wavelet transform. The performance of the wavelet bases is measured in terms of the sensitivity and the selectivity for the classification of natural textures. The classification results show that the choice of wavelet basis has a considerable effect on the classification performance.

Keywords

image classification; image texture; tree data structures; wavelet transforms; image texture; natural textures; texture analysis; texture classification; tree-structured wavelet transform; wavelet bases effect; Algorithm design and analysis; Classification algorithms; Classification tree analysis; Difference equations; Filter bank; Frequency; Low pass filters; Nonlinear filters; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-5700-0

Type

conf

DOI

10.1109/ACSSC.1999.831915

Filename

831915