Texture discrimination using brushlet features

Author

Chen, Chibiao ; Liu, Jun ; Chan, Kap Luk

Author_Institution

Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore

Volume

1

fYear

2001

fDate

2001

Firstpage

55

Abstract

We make use of a new adaptive basis of functions, brushlets, which is reasonably well localized with only one peak in frequency. Since a brushlet is a complex valued function, the orientation information is embedded in its phase and can be used for directional texture analysis. A texture classification system is developed using the brushlet representation of original images. Our experiments on a texture database for MPEG-7 core experiments indicate the brushlet features provide a very good texture classification accuracy

Keywords

feature extraction; image classification; image representation; image texture; visual databases; MPEG-7; adaptive basis; brushlet features; complex valued function; directional texture analysis; image representation; orientation information; phase embedding; texture classification; texture database; texture discrimination; Filter bank; Frequency; Gabor filters; Image databases; Image texture analysis; Information analysis; Information systems; Performance analysis; Signal processing; Wavelet packets;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Computers and signal Processing, 2001. PACRIM. 2001 IEEE Pacific Rim Conference on

Conference_Location

Victoria, BC

Print_ISBN

0-7803-7080-5

Type

conf

DOI

10.1109/PACRIM.2001.953521

Filename

953521