We describe our participation in the medical retrieval task of the ImageCLEF 2004. This task aims at finding images that are similar with respect to modality (CT, radiograph, MRI, and so on). We propose several image features, including color histogram, gray-spatial histogram, coherence moment, and gray correlogram, to facilitate the retrieval of similar images. The initial retrieval results are obtained via visual feature analysis. An automatic feedback mechanism clusters visually and textually similar images among these initial results to help refine the query. In this paper, we present the system used, focusing on novel and newly developed aspects. The evaluated result shows that the automatic feedback mechanism improves the precision by 15%.
|期刊||CEUR Workshop Proceedings|
|出版狀態||已發佈 - 2004 一月 1|
|事件||2004 Cross Language Evaluation Forum Workshop, CLEF 2004, co-located with the 8th European Conference on Digital Libraries, ECDL 2004 - Bath, 英国|
持續時間: 2004 九月 15 → 2004 九月 17
ASJC Scopus subject areas