DocumentCode :
2148551
Title :
Endoscope Image Retrieval Based on Color Feature Fusion
Author :
Zhang, Quan ; Tai, Xiao-ying
Volume :
2
fYear :
2008
fDate :
27-30 May 2008
Firstpage :
247
Lastpage :
251
Abstract :
In view of endoscope images´ color distribution, a non-even color quantization method in HSV space is proposed in this paper. Then based on this quantization many kinds of color feature including the color histogram, the main color, the mean color, the accumulative histogram, the color pair, the dominant color of partition, the color correlogram and color moments are extracted. Comparing the retrieval efficiency of each feature, a variety of colors features are combined for synthesis feature retrieval. Finally, a relevance feedback technology is joined in synthesis feature retrieval. Experiments have proved that combining the color correlogram with histogram joining relevance feedback retrieval can get better efficiency.
Keywords :
Biomedical imaging; Computer science; Endoscopes; Feedback; Histograms; Image color analysis; Image retrieval; Quantization; Signal processing; Space technology; color feature; endoscope image; feature fusion; relevance feedback;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location :
Sanya, China
Print_ISBN :
978-0-7695-3119-9
Type :
conf
DOI :
10.1109/CISP.2008.247
Filename :
4566305
Link To Document :
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