Content Based Image Retrieval (CBIR) of Dermatological Images H.H.W.J Bosman, N. Petkov, M.F. Jonkman.

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Presentation transcript:

Content Based Image Retrieval (CBIR) of Dermatological Images H.H.W.J Bosman, N. Petkov, M.F. Jonkman

Image retrieval:

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

iMedia Project – query results

GIFT – select query

GIFT – query result

Leiden 19 th -Century Portrait Database

Leiden 19 th -Century Portrait Database

CBIR in medical settings Seeking pathologically similar mammogram images Dept of Computer Science at Warwick university e

CBIR in medical settings l

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

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:...Efflorescentie:... Rangschikking:... Omvang:... Kleur/Vorm/Omtrek:

Questions or suggestions?