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
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;
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
DOI :
10.1109/ICBBE.2008.982
