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Dominant color image retrieval using merged histogram

  • Ka-Man Wong
  • , Chun-Ho Cheung
  • , Tak-Shing Liu
  • , Lai-Man Po

Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal

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.
Original languageEnglish
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume2
DOIs
Publication statusPublished - 2003
EventThe 2003 IEEE International Symposium on Circuits and Systems (ISCAS 2003) - Imperial Queen's Park Hotel, Bangkok, Thailand
Duration: 25 May 2003 → 28 May 2003
https://ieeexplore.ieee.org/xpl/conhome/8570/proceeding

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