Image texture description using complex wavelet transform

Author

Hatipoglu, Serkan ; Mitra, Sanjit K. ; Kingsbury, Nick

Author_Institution

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

Volume

2

fYear

2000

fDate

10-13 Sept. 2000

Firstpage

530

Abstract

Texture description is important for image retrieval from various large image databases. A method for representing texture information in images utilizing dual tree complex wavelet transform (DT-CWT) is introduced. Approximate shift invariance, good directional selectivity and computational efficiency properties of DT-CWT are effective in describing texture patterns. The perfect reconstruction property of DT-CWT enables us to store the image data using DT-CWT coefficients. Experiments are performed with Brodatz (1966) texture database and nature images that have significant amount of texture information to investigate the efficiency of our texture description algorithm.

Keywords

feature extraction; image reconstruction; image retrieval; image texture; visual databases; wavelet transforms; Brodatz texture database; DT-CWT coefficients; approximate shift invariance; complex wavelet transform; computational efficiency; directional selectivity; dual tree complex wavelet transform; image data storage; image retrieval; image texture description; large image databases; nature images; perfect reconstruction property; texture description algorithm; texture information; Band pass filters; Data mining; Discrete wavelet transforms; Feature extraction; Frequency; Image databases; Image retrieval; Image texture; Passband; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2000. Proceedings. 2000 International Conference on

Conference_Location

Vancouver, BC, Canada

ISSN

1522-4880

Print_ISBN

0-7803-6297-7

Type

conf

DOI

10.1109/ICIP.2000.899472

Filename

899472