Image retrieval based on color features: an evaluation study

HongJiang Zhang; Yihong Gong; Chien Yong Low; Stephen W. Smoliar

doi:10.1117/12.227244

21 November 1995 Image retrieval based on color features: an evaluation study

HongJiang Zhang, Yihong Gong, Chien Yong Low, Stephen W. Smoliar

Proceedings Volume 2606, Digital Image Storage and Archiving Systems; (1995) https://doi.org/10.1117/12.227244
Event: Photonics East '95, 1995, Philadelphia, PA, United States

Abstract

This paper presents an experimental evaluation of different image content representations, all of which are based on the use of color histograms to support indexing and searching schemes. We investigate the use of different color resolutions, restriction to dominant colors, and matching based on both global and local histograms. We also examine how suitable numerical index keys may be designed to support retrieval, and we assess the use of Self-Organizing Maps to guide structuring a database of images. All of our results are based on experimental studies, and our conclusions should lead to useful guidelines for developing image indexing and retrieval systems based on visual content.

Citation Download Citation

HongJiang Zhang, Yihong Gong, Chien Yong Low, and Stephen W. Smoliar "Image retrieval based on color features: an evaluation study", Proc. SPIE 2606, Digital Image Storage and Archiving Systems, (21 November 1995); https://doi.org/10.1117/12.227244

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