DocumentCode
1560943
Title
Dominant color image retrieval using merged histogram
Author
Wong, Ka-Man ; Chun-Ho Chey ; Liu, Tak-Shing ; Po, Lai-Man
Author_Institution
Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, China
Volume
2
fYear
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.
Keywords
content-based retrieval; image colour analysis; image recognition; image retrieval; merging; RGB-based histogram; content-based image retrieval; dominant colour image retrieval; histogram-based image retrieval; merged histogram method; Content based retrieval; Health information management; Histograms; Image color analysis; Image databases; Image retrieval; Image storage; Information retrieval; Internet; Multimedia databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
Print_ISBN
0-7803-7761-3
Type
conf
DOI
10.1109/ISCAS.2003.1206122
Filename
1206122
Link To Document