Indian Journal of Science and Technology
Year: 2013, Volume: 6, Issue: 4, Pages: 1-5
Sasi Kumar M.1* and Y. S. Kumaraswamy2
1 Research Scholar, Department of CSE, Sathyabama University, [email protected]
2 Sr. Professor & HOD, Dept. of MCA, Dayananda Sagar College of Engineering, [email protected]
*Author For Correspondence
Sasi Kumar M
Department of CSE, Sathyabama University,
This paper deals with medical image retrieval for retrieving images similar to query images from a database. Retrieval of archived digital medical images is always a challenge that is still being researched all the more so as such images are of paramount importance in patient diagnosis, therapy, surgical planning, medical reference, and medical training. This paper proposes using the Discrete Sine Transform (DST) for relevant feature extraction, and applies Boosting classification techniques to locate the relevant images. In this study, the boosting is used with J48 and decision stump. Experimental results show that the classification accuracy achieved is fairly good.
Keywords: Content Based Image Retrieval (CBIR), Medical Images, Discrete Sine Transform (DST), Boosting, J48, Decision Stump
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