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Content Based Medical Image Retrieval System Based on Generalized Gamma Distribution and Feature Matching Methodology

[ Vol. 12 , Issue. 1 ]

Author(s):

Telu V. Madhusudhanarao, Sanaboina P. Setty and Yarramalle Srinivas   Pages 28 - 35 ( 8 )

Abstract:


Medical imaging is an area of image processing which concerns about the study of diseases. Medical imaging technologies have been improved significantly as a result of recent technological developments. However, these developments could not reach the level of expectations due to the lack of efficient radiologists and Specialized Doctors at remote areas, which in turn became a problem of concern for identifying the diseases and imparting the treatment to the patients residing at remote areas. This paper addresses the issue by presenting an approach for delivering effective treatment to the people living at rural regions using Content Based Medical Image Retrieval (CBMIR) system. The results derived are tested using metrics like Precision and Recall. The relevant images retrieved based on the developed model are evaluated for efficiency using Quality metrics and are compared with that of the existing models based on the Gaussian Mixture Model and Skew Gaussian Mixture model.

Keywords:

Generalized Gamma Distribution, Content Based Image Retrieval, Precision and Recall, GMM, Skew GMM.

Affiliation:

Department of Computer Science and Engineering, Thandra Paparaya Institute of Science and Technology, Bobbili, Andhra Pradesh, India.

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