International Journal of Scientific and Research Publications

IJSRP, Volume 3, Issue 11, November 2013 Edition [ISSN 2250-3153]


Content Based Image Retrieval in Biomedical Images Using SVM Classification with Relevance Feedback
      Sukhada Aloni
Abstract: Content-based image retrieval (CBIR) framework for diverse collection of medical images of different imaging modalities, anatomic regions with different orientations and biological systems is proposed. Organization of images in such a database (DB) is well defined with predefined semantic categories; hence, it can be useful for category-specific searching. The proposed framework consists of machine learning methods for image pre-filtering, similarity matching using statistical distance measures, and a relevance feedback (RF) scheme.

Reference this Research Paper (copy & paste below code):

Sukhada Aloni (2018); Content Based Image Retrieval in Biomedical Images Using SVM Classification with Relevance Feedback ; Int J Sci Res Publ 3(11) (ISSN: 2250-3153). http://www.ijsrp.org/research-paper-1113.php?rp=P231955
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