DocumentCode
1674013
Title
Improved Color Clustering Vector Applied in Endoscope Image Retrieval
Author
Zhang, Quan ; Xiaoying Tai ; Dong, Yihong ; Pan, Shanliang ; Wang, Xiaoquan ; Yin, Caoqian
Author_Institution
Dept. of Comput. Sci., Ningbo Univ., Ningbo
fYear
2008
Firstpage
2596
Lastpage
2599
Abstract
In this paper, improved CCV is extracted as retrieval feature using a new quantification method which is proposed based on the analysis of endoscope image color distribution in different color spaces. It is proved that with this quantification, the improved CCV displays better retrieval effect.
Keywords
biology computing; endoscopes; image colour analysis; image retrieval; color clustering vector; endoscope image color distribution; endoscope image retrieval; Biomedical imaging; Computer displays; Computer science; Endoscopes; Feature extraction; Functional analysis; Image analysis; Image color analysis; Image retrieval; Space technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1747-6
Electronic_ISBN
978-1-4244-1748-3
Type
conf
DOI
10.1109/ICBBE.2008.982
Filename
4535862
Link To Document