A texture descriptor for image retrieval and browsing

Author

Wu, P. ; Manjunanth, B.S. ; Newsam, S.D. ; Shin, H.D.

Author_Institution

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

fYear

1999

fDate

1999

Firstpage

3

Lastpage

7

Abstract

Image texture is an important visual primitive in image search and retrieval applications. To characterize texture information of images, a texture descriptor is proposed to capture both the perceptual information and the statistics of textures. The descriptor consists of two parts: a Perceptual Browsing Component (PBC) and a Similarity Retrieval Component (SRC). The emphasis of the paper is to introduce the extraction method for the PBC which is based on multidimensional decomposition of images using Gabor filters. By analyzing the one dimensional projections resulting from filtered images, PBC gives a quantitative measure about the structuredness of textures and also identifies the directionality and coarseness (scale). Our experimental results demonstrate that PBC can capture these texture properties quite well

Keywords

feature extraction; filters; image retrieval; image texture; Gabor filters; PBC; Perceptual Browsing Component; Similarity Retrieval Component; browsing; extraction method; filtered images; image retrieval; image search; image texture; multidimensional image decomposition; one dimensional projections; perceptual information; retrieval applications; texture descriptor; texture information; texture properties; texture structuredness; visual primitive; Application software; Filtering; Gabor filters; Humans; Image analysis; Image retrieval; Image texture; Multidimensional systems; Statistics; Vegetation mapping;

fLanguage

English

Publisher

ieee

Conference_Titel

Content-Based Access of Image and Video Libraries, 1999. (CBAIVL '99) Proceedings. IEEE Workshop on

Conference_Location

Fort Collins, CO

Print_ISBN

0-7695-0034-X

Type

conf

DOI

10.1109/IVL.1999.781114

Filename

781114