DocumentCode :
3309951
Title :
Two-Level Content-Based Endoscope Image Retrieval
Author :
Zhang, Quan ; Tai, Xiaoying ; Dong, Yihong ; Pan, Shanliang ; Luo, Xin ; Kita, Kenji
Author_Institution :
Comput. Sci. & Eng., Ningbo Univ., Ningbo
Volume :
6
fYear :
2008
fDate :
18-20 Oct. 2008
Firstpage :
208
Lastpage :
212
Abstract :
Based on the analysis of endoscope image, in this paper, a new color quantification method is proposed to extract improved CCV and the V component shape invariant moment achieving image feature base. Inspiring from general information searching, the two-level content-based endoscope image retrieval is represented using the improved CCV and V component shape invariant moment guaranteeing the first retrieval recall. Experiments prove the efficiency of these methods.
Keywords :
content-based retrieval; endoscopes; image colour analysis; image retrieval; medical image processing; color quantification method; image feature; information searching; shape invariant moment; two-level content-based endoscope image retrieval; Biomedical imaging; Content based retrieval; Endoscopes; Image analysis; Image color analysis; Image retrieval; Information retrieval; Medical diagnostic imaging; Pathology; Shape; endoscope image retrieval; improved CCV; shape invariant moment; two-level content-based image retrieval;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
Type :
conf
DOI :
10.1109/ICNC.2008.502
Filename :
4667831
Link To Document :
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