Abstract
In this paper we present a way to capture the information of spatial distribution of colour clusters which is used to further enhance the discrimination power of colour based image retrieval. We proposed the spatial feature extraction algorithm as well as the distance function to estimate the spatial distance. The results are also presented to show the discrimination power of the proposed spatial features.
| Original language | English |
|---|---|
| Title of host publication | IEEE Region 10 Annual International Conference, Proceedings/TENCON |
| Volume | 1 |
| Publication status | Published - 2000 |
| Event | 2000 TENCON Proceedings - Kuala Lumpur, Malaysia Duration: Sep 24 2000 → Sep 27 2000 |
Other
| Other | 2000 TENCON Proceedings |
|---|---|
| City | Kuala Lumpur, Malaysia |
| Period | 9/24/00 → 9/27/00 |
ASJC Scopus subject areas
- Engineering(all)
Fingerprint Dive into the research topics of 'Spatial distribution of color clusters for image retrieval'. Together they form a unique fingerprint.
Cite this
Abdesselam, A., & Chung, W. Y. (2000). Spatial distribution of color clusters for image retrieval. In IEEE Region 10 Annual International Conference, Proceedings/TENCON (Vol. 1)