DocumentCode
3009141
Title
Relevance feedback approaches for MPEG-7 content-based biomedical image retrieval
Author
Mironica, Ionut ; Vertan, Constantin
Author_Institution
Dept. of Appl. Electron. & Inf. Eng., Politeh. Univ. of Bucharest, Bucharest, Romania
fYear
2010
fDate
10-12 June 2010
Firstpage
185
Lastpage
188
Abstract
This paper proposes the implementation of a content-based image retrieval system that uses MPEG-7 color image descriptors, integrated into a medical record database. The system functionality is proven in the framework of an oncology application. Several classical relevance feedback methods are evaluated in conjunction with the image content descriptors in terms of overall retrieval rate improvement.
Keywords
content-based retrieval; image colour analysis; image retrieval; medical image processing; medical information systems; relevance feedback; MPEG-7 color image descriptors; content-based biomedical image retrieval; medical record database; relevance feedback approaches; Biomedical imaging; Content based retrieval; Feedback; Histograms; Image databases; Image retrieval; Information retrieval; MPEG 7 Standard; Medical diagnostic imaging; Quantization; MPEG-7; biomedical image analysis; content-based image retrieval; relevance feedback;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (COMM), 2010 8th International Conference on
Conference_Location
Bucharest
Print_ISBN
978-1-4244-6360-2
Type
conf
DOI
10.1109/ICCOMM.2010.5509035
Filename
5509035
Link To Document