Texture analysis and classification with the nonseparable wavelet transform

Author

Mojsilovic, Aleksandra ; Markovic, Srdan ; Popovic, Miodrag

Author_Institution

Fac. of Electr. Eng., Belgrade Univ., Serbia

Volume

3

fYear

1997

fDate

26-29 Oct 1997

Firstpage

182

Abstract

This paper investigates the application of nonseparable wavelet transform for the texture characterization. On a set of 21 Brodatz textures we have performed traditional dyadic wavelet decomposition (in two levels) and nonseparable quincunx decomposition (in six levels), testing their ability to classify textures in: (a) normal working conditions, (b) noisy environment, and (c) with respect to rotation. Our experiments have shown that the quincunx transform is appropriate for characterization of noisy data, small number of resolution levels and shorter feature vectors and rotationally invariant description

Keywords

band-pass filters; filtering theory; image classification; image resolution; image texture; noise; two-dimensional digital filters; wavelet transforms; 2D filter bank; Brodatz textures; dyadic wavelet decomposition; experiments; feature vectors; noisy data; noisy environment; nonseparable quincunx decomposition; nonseparable wavelet transform; normal working conditions; quincunx transform; resolution levels; rotation; rotationally invariant description; texture analysis; texture characterization; texture classification; Filter bank; Frequency domain analysis; Image sampling; Lattices; Sampling methods; Shape; Testing; Wavelet analysis; Wavelet transforms; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1997. Proceedings., International Conference on

Conference_Location

Santa Barbara, CA

Print_ISBN

0-8186-8183-7

Type

conf

DOI

10.1109/ICIP.1997.632047

Filename

632047