Title :
A Content-Based Retrieval System for Endoscopic Images
Author :
Xia, Shunren ; Ge, Dingfei ; Mo, Weirong ; Zhang, Zanchao
Author_Institution :
Key Lab of BME of Minist. of Educ., Zhejiang Univ., Hangzhou
Abstract :
Based on the research of low-level visual image features including color clustering, color texture and shape, a new image retrieving method using multi-feature fusion and relevance feedback to retrieval images is proposed. By setting up a prototype system to evaluate the performance of the proposed method, the results illustrate that the method can retrieve endoscopic images more effectively, accurately and quickly than the one based on single feature because of its flexible ability to combine features and interactive relevance feedback
Keywords :
biomedical optical imaging; content-based retrieval; endoscopes; feedback; image colour analysis; image fusion; image retrieval; image texture; medical image processing; color clustering; color texture; content-based retrieval system; endoscopic images; image retrieving method; low-level visual image features; multi-feature fusion; relevance feedback; shape; Color; Content based retrieval; Educational technology; Feedback; Histograms; Image databases; Image retrieval; Prototypes; Shape; Spatial databases;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1616776
