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
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;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.502
