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CLEF
2004
Springer

Medical Image Retrieval Using Texture, Locality and Colour

9 years 6 months ago
Medical Image Retrieval Using Texture, Locality and Colour
We describe our experiments for the Image CLEF medical retrieval task. Our efforts were focused on the initial visual search. A content based approach was followed. We used texture, localisation and colour features that have been proven by previous experiments. The images in the collection had specific characteristics. Medical images have a formulaic composition for each modality and anatomic region. We were able to choose features that would perform well in this domain. Tiling a Gabor texture feature to add localisation information proved to be particularly effective. The distances from each feature were combined with equal weighting. This smoothed the performance across the queries. The retrieval results showed that this simple approach was successful, with our system coming third in the evaluation.
Peter Howarth, Alexei Yavlinsky, Daniel Heesch, St
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where CLEF
Authors Peter Howarth, Alexei Yavlinsky, Daniel Heesch, Stefan M. Rüger
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