Dominant color image retrieval using merged histogram

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

doi:10.1109/ISCAS.2003.1206122

Dominant color image retrieval using merged histogram

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

Overview

22 Scopus Citations

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Author(s)

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

Related Research Unit(s)

Department of Electrical Engineering

Detail(s)

Original language	English
Journal / Publication	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	2
Publication status	Published - 2003

Conference

Title	Proceedings of the 2003 IEEE International Symposium on Circuits and Systems
Location	Imperial Queen's Park Hotel
Place	Thailand
City	Bangkok
Period	25 - 28 May 2003

Link(s)

DOI	DOI https://doi.org/10.1109/ISCAS.2003.1206122 Final Published version
	Check@CityULib
Link to Scopus	https://www.scopus.com/record/display.uri?eid=2-s2.0-0038421792&origin=recordpage
Permanent Link	https://scholars.cityu.edu.hk/en/publications/publication(2b0d048d-9cd8-4736-9f32-4d2fb0d11d56).html

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.