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A Boosting Frame Work for Improved Content Based Image Retrieval


Affiliations
1 Department of CSE, Sathyabama University, Chennai, India
2 Dept. of MCA, Dayananda Sagar College of Engineering, Bangalore, India
 

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
User

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  • A Boosting Frame Work for Improved Content Based Image Retrieval

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Authors

M. Sasi Kumar
Department of CSE, Sathyabama University, Chennai, India
Y. S. Kumaraswamy
Dept. of MCA, Dayananda Sagar College of Engineering, Bangalore, India

Abstract


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

References





DOI: https://doi.org/10.17485/ijst%2F2013%2Fv6i4%2F31859