Image retrieval based on color coherence

B. Y. Kim, H. J. Kim, S. J. Jang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)


The color histogram is a simple method for representing and comparing images, but this approach has a drawback that it does not capture spatial image attributes. Previously, color coherence vectors based on color homogeneous regions have been introduced for image retrieval since they include some spatial information. The color histogram constructed by connected components whose size is larger than a certain number of pixels. This definition takes only the spatial size into consideration. In this paper, we present new definitions of color coherence that can include spatial information, say, distance between regions. As a result, we have three types of color coherence measures. Pixels are grouped according to (1) region size only, (2) distance only and (3) both size and distance. We apply them to actual visual image retrieval applications. For the simulation, we proposed a fast segmentation and merging method. The experimental result showed that the distance information is more effective than the size information for the image retrieval.

Original languageEnglish
Title of host publicationIEEE Region 10 Annual International Conference, Proceedings/TENCON
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)0780357396, 9780780357396
Publication statusPublished - 1999
Externally publishedYes
Event1999 IEEE Region 10 Conference, TENCON 1999 - Cheju Island, Korea, Republic of
Duration: 1999 Sept 151999 Sept 17

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450


Other1999 IEEE Region 10 Conference, TENCON 1999
Country/TerritoryKorea, Republic of
CityCheju Island

Bibliographical note

Funding Information:
This work was in part supported by the Regional Research Center, Korea Science and Engineering Foundation (KOSEF), Korea.

Publisher Copyright:
© 1999 IEEE.

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering


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