Region-Based Color Image Indexing and Retrieval

Ioannis Kompatsiaris, Evangelia Triantafyllou, Michael G. Strintzis

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

15 Citationer (Scopus)
140 Downloads (Pure)


In this paper a region-based color image indexing and retrieval algorithm
is presented. As a basis for the indexing, a novel K-Means
segmentation algorithm is used, modified so as to take into account
the coherence of the regions. A new color distance is also defined
for this algorithm. Based on the extracted regions, characteristic
features are estimated using color, texture and shape information.
An important and unique aspect of the algorithm is that, in the
context of similarity-based querying, the user is allowed to view
the internal representation of the submitted image and the query
results. Experimental results demonstrate the performance of the
algorithm. The development of an intelligent image content-based
search engine for the World Wide Web is also presented, as a direct
application of the presented algorithm.
TitelProceedings of the IEEE International Conference on Image Processing 2001
StatusUdgivet - 2001
BegivenhedIEEE International Conference on Image Processing - Thessaloniki, Grækenland
Varighed: 7 okt. 200110 okt. 2001


KonferenceIEEE International Conference on Image Processing

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