Share Email Print

Proceedings Paper

Tools for texture- and color-based search of images
Author(s): Wei Y. Ma; Yining Deng; B. S. Manjunath
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Currently there are quite a few image retrieval systems that use color and texture as features to search images. However, by using global features these methods retrieve results that often do not make much perceptual sense. It is necessary to constrain the feature extraction within homogeneous regions, so that the relevant information within these regions can be well represented. This paper describes our recent work on developing an image segmentation algorithm which is useful for processing large and diverse collections of image data. A compact color feature representation which is more appropriate for these segmented regions is also proposed. By using the color and texture features and a region-based search, we achieve a very good retrieval performance compared to the entire image based search.

Paper Details

Date Published: 3 June 1997
PDF: 12 pages
Proc. SPIE 3016, Human Vision and Electronic Imaging II, (3 June 1997); doi: 10.1117/12.274547
Show Author Affiliations
Wei Y. Ma, Univ. of California/Santa Barbara (United States)
Yining Deng, Univ. of California/Santa Barbara (United States)
B. S. Manjunath, Univ. of California/Santa Barbara (United States)

Published in SPIE Proceedings Vol. 3016:
Human Vision and Electronic Imaging II
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?