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- W2184579186 abstract "with the advancement in multimedia and imaging technology, Content Based Image Retrieval (C.B.I.R.) is becoming very important and emerging field. CBIR is the part of image processing that extracts features of image to index images with minimal human interventions. There are many feature extraction techniques such as color, shape or texture retrieval among which texture retrieval is the most powerful and optimal technique .C.B.I.R. finds better future scope in medical field. A huge database of medical images can be created using C.B.I.R. In this paper, we introduce a content-based approach to retrieve information from digital human brain Magnetic Resonance Image (M.R.I.) based on texture retrieval. The paper describes methodology of C.B.I.R. applied to images of medical field to differentiate them between normal and abnormal medical images based on feature extraction a n d clustering the abnormal images to detect two certain abnormalities: Multiple Sclerosis(M.S.) and Tumoral images to classify database." @default.
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- W2184579186 date "2012-01-01" @default.
- W2184579186 modified "2023-09-27" @default.
- W2184579186 title "Content Based Image Retrieval Approach to Tumor Detection in Human Brain Using Magnetic Resonance Image" @default.
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