A comparison of wavelet transform features for texture image annotation

Author

Ma, W.I. ; Manjunath, B.S.

Author_Institution

Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA

Volume

2

fYear

1995

fDate

23-26 Oct 1995

Firstpage

256

Abstract

A comparison of different wavelet transform based texture features for content based search and retrieval is made. These include the conventional orthogonal and bi-orthogonal wavelet transforms, tree-structured decompositions, and the Gabor wavelet transforms. Issues discussed include image processing complexity, texture classification and discrimination, and suitability for developing indexing techniques

Keywords

band-pass filters; feature extraction; filtering theory; image classification; image texture; indexing; information retrieval; search problems; wavelet transforms; Gabor wavelet transforms; biorthogonal wavelet transforms; content based search; content retrieval; filter banks; image processing complexity; indexing techniques; orthogonal wavelet transforms; texture classification; texture discrimination; texture features; texture image annotation; tree structured decompositions; wavelet transform features; Content based retrieval; Feature extraction; Gabor filters; Image analysis; Image processing; Image retrieval; Image texture analysis; Indexing; Information retrieval; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1995. Proceedings., International Conference on

Conference_Location

Washington, DC

Print_ISBN

0-8186-7310-9

Type

conf

DOI

10.1109/ICIP.1995.537463

Filename

537463