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CBIR FOR BIOMEDICAL IMAGE ARCHIVES USING EFFICIENT RELEVANCE FEEDBACK AND USER NAVIGATION PATTERS
Minju P George, S Jayanthi

Published in: International Journal of Current Engineering And Scientific Research ( IJCESR)
Volume- 4, Issue-10, pp.22-27, Oct 2017
DPI :-> 16.10046.IJCESR.2017.V4I10.2227.2000



Abstract
Content Based Image Retrieval (CBIR) has been one of the most vivid research areas in the field of computer vision over the last ten years .Content Based Image Retrieval System is the solution for the problem of searching for digital images in large databases. Retrieval of images using CBIR has been a predominant scenario in the medical diagnosis. The impact of content-based access to medical images is frequently reported but existing systems are designed for only a particular modality or context of diagnosis. Contrarily, proposed concept of image retrieval in medical applications (IRMA) aims at a general structure for semantic content analysis that is suitable for numerous applications in case-based reasoning or evidence based medicine. The hybrid approach for relevance feedback incorporated into CBIR to obtain more precise results by taking users feedback. Existing relevance feedback-based CBIR methods usually request a number of iterative feedbacks to produce refined search results is impractical and inefficient in real applications. Existing Navigation-patternbased algorithm (NPRF Search) merges three query refinement strategies including Query Point Movement, Query Reweighting, and Query Expansion, to converge the search space toward the users intention effectively. The proposed Navigation-Pattern-based Relevance Feedback with human behaviour in content based biomedical image retrieval( CBMIR-NPRF) can achieve the high retrieval quality of CBIR in a small number of feedbacks. Adaptive texture feature extraction algorithm is used and relevant images are retrieved by graph ranking algorithm in less number of iterations.

Key-Words / Index Term
Content-based image retrieval, low level features, relevance feedback, navigation pattern mining

How to cite this article
Minju P George, S Jayanthi , “CBIR FOR BIOMEDICAL IMAGE ARCHIVES USING EFFICIENT RELEVANCE FEEDBACK AND USER NAVIGATION PATTERS”, International Journal of Current Engineering And Scientific Research ( IJCESR), 4, Issue-10, pp.22-27, Oct 2017. DPI:16.10046.IJCESR.V4.I10.2000