Texture features for browsing and retrieval of image data

Author

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

Author_Institution

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

Volume

18

Issue

8

fYear

1996

fDate

8/1/1996 12:00:00 AM

Firstpage

837

Lastpage

842

Abstract

Image content based retrieval is emerging as an important research area with application to digital libraries and multimedia databases. The focus of this paper is on the image processing aspects and in particular using texture information for browsing and retrieval of large image data. We propose the use of Gabor wavelet features for texture analysis and provide a comprehensive experimental evaluation. Comparisons with other multiresolution texture features using the Brodatz texture database indicate that the Gabor features provide the best pattern retrieval accuracy. An application to browsing large air photos is illustrated

Keywords

feature extraction; image texture; information retrieval; visual databases; wavelet transforms; Brodatz texture database; Gabor wavelet features; browsing; digital libraries; image content based retrieval; image data; large air photos; multimedia databases; multiresolution texture features; pattern retrieval accuracy; texture analysis; texture features; Content based retrieval; Focusing; Image databases; Image processing; Image retrieval; Image texture analysis; Information retrieval; Multimedia databases; Software libraries; Wavelet analysis;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/34.531803

Filename

531803