Tools for texture- and color-based search of images

Wei Y. Ma; Yining Deng; B. S. Manjunath

doi:10.1117/12.274547

3 June 1997 Tools for texture- and color-based search of images

Wei Y. Ma, Yining Deng, B. S. Manjunath

Proceedings Volume 3016, Human Vision and Electronic Imaging II; (1997) https://doi.org/10.1117/12.274547
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

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.

Citation Download Citation

Wei Y. Ma, Yining Deng, and B. S. Manjunath "Tools for texture- and color-based search of images", Proc. SPIE 3016, Human Vision and Electronic Imaging II, (3 June 1997); https://doi.org/10.1117/12.274547

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available