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 :
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