SMIRE: similar medical image retrieval engine

Authors:
Pei-Cheng Cheng;Been-Chian Chien;Hao-Ren Ke;Wei-Pang Yang
Affiliations:
Department of Computer & Information Science, National Chiao Tung University, Hsinchu, Taiwan,R.O.C.;Department of Computer Science and Information Engineering, National University of Tainan, Tainan, Taiwan, R.O.C.;University Library, National Chiao Tung University, Hsinchu, Taiwan,R.O.C.;Department of Computer & Information Science, National Chiao Tung University, Hsinchu, Taiwan,R.O.C.
Venue:
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
Year:
2004

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Abstract

This paper aims at finding images that are similar to a medical image example query. We propose several image features based on wavelet coefficients, including color histogram, gray-spatial histogram, coherence moment, and gray correlogram, to facilitate the retrieval of similar medical images. The initial retrieval results are obtained via visual feature analysis. An automatic feedback mechanism that clusters visually and textually similar images among these initial results was also proposed to help refine the query. In the ImageCLEF 2004 evaluation, the experimental results show that our system is excellence in mean average precision.