Dominant color image retrieval using merged histogram

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)22_Publication in policy or professional journalNot applicable

17 Scopus Citations
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Original languageEnglish
Journal / PublicationProceedings - IEEE International Symposium on Circuits and Systems
Volume2
StatePublished - 2003

Conference

TitleProceedings of the 2003 IEEE International Symposium on Circuits and Systems
LocationImperial Queen's Park Hotel
PlaceThailand
CityBangkok
Period25 - 28 May 2003

Abstract

A merged histogram method (MHM) is proposed for histogram-based image retrieval based on dominant colors in images. In MHM, colors from images and between images are merged to form their dominant color set, instead of color components. Images of similar color can thus be selected and ranked. Experimental results show that MHM can achieve up to 32% and up to 22% more precise than RGB-based histogram and perceptually weighted histogram methods, respectively.

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