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Content Based Image Retrieval (CBIR) of Dermatological Images H.H.W.J Bosman, N. Petkov, M.F. Jonkman Image retrieval: http://images.google.nl Image retrieval: http://images.google.nl CBIR - what is it? Search for images that are similar to an input image Features that might indicate similarity Color Texture Shape Text tags etc... iMedia Project – select query http://www-rocq.inria.fr/cgi-bin/imedia/circario.cgi/v2std iMedia Project – query results http://www-rocq.inria.fr/cgi-bin/imedia/circario.cgi/v2std GIFT – select query http://viper.unige.ch/demo/php/demo.php GIFT – query result http://viper.unige.ch/demo/php/demo.php Leiden 19th-Century Portrait Database http://nies.liacs.nl:1860/cgi-bin/FindImage.pl Leiden th 19 -Century Portrait Database http://nies.liacs.nl:1860/cgi-bin/FindImage.pl CBIR in medical settings http://www2.warwick.ac.uk/fac/sci/dcs/research/mimic/projects/lisprojectpag e Seeking pathologically similar mammogram images Dept of Computer Science at Warwick university CBIR in medical settings http://cobweb.ecn.purdue.edu/~cbirdev/WEB_ASSERT/assert.htm l CBIR in dermatology CBIR in dermatology Methods - the dataset 211 dermatological images from the UMCG image database Divided into 4 classes: Red, White, Blue, Brown Manually selecting area of healthy skin (70,110,90) and lesion skin (120,95,80) CBIR in dermatology CBIR in dermatology CBIR in dermatology Results with only color features 75% correct retrieval White is retrieved best Blue is the most difficult to retrieve Results vary with the ‘goodness’ of the selection of different regions. From CBIR to CBCR (content based case retrieval) TEST CASE defined by PROVOKE query: Plaats: ... Rangschikking: ... Omvang: ... Kleur/Vorm/Omtrek: Efflorescentie: ... Questions or suggestions?