DocumentCode
2644725
Title
Image Retrieval Based on Fuzzy Color Histogram
Author
Kai-xing Wu ; Qiang Xu
Author_Institution
Sch. of Inf. & Electron. Eng., Hebei Univ. of Eng., Handan
fYear
2008
fDate
15-17 Aug. 2008
Firstpage
75
Lastpage
78
Abstract
Due to its simple, low computation complexity and invariant to geometric transform, color feature is widely used in content-based image retrieval (CBIR). In this paper, a new fuzzy method of color histogram is proposed based on the Lab color space, which links the three histograms created by the three components of the color space and provides a histogram which contains only ten bins. The experimental results prove that the proposed method is more accurate and robust than other methods of histogram.
Keywords
content-based retrieval; fuzzy set theory; image colour analysis; image retrieval; Lab color space; color feature; computation complexity; content-based image retrieval; fuzzy color histogram; geometric transform; image retrieval; Color; Colored noise; Content based retrieval; Fuzzy logic; Fuzzy systems; Histograms; Image retrieval; Information retrieval; Layout; Performance evaluation; Color histograms; Fuzzy systems; Image retrieval;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Hiding and Multimedia Signal Processing, 2008. IIHMSP '08 International Conference on
Conference_Location
Harbin
Print_ISBN
978-0-7695-3278-3
Type
conf
DOI
10.1109/IIH-MSP.2008.57
Filename
4604011
Link To Document