Research Journal of Pharmacy and Technology
Year : 2017, Volume : 10, Issue : 12
First page : ( 4350) Last page : ( 4352)
Print ISSN : 0974-3618. Online ISSN : 0974-360X.
Article DOI : 10.5958/0974-360X.2017.00797.1

FCM based Segmentation for Medical Images

Syed S. Syes Abdul¹, Kumaran T. Senthil²

¹Research Scholar, Department of Information Technology, AMET University, Chennai

²Associate Professor, Department of Computer Science, ACS College of Engineering, Bangalore

Online published on 26 March, 2018.

Abstract

Image segmentation systems used in medical applications for the segmentation of the infected region from the medical image in which the treatment are to be done. A system for the automatic segmentation of a infected regions based on the features is done by using an algorithm known as Fuzzy C-Means (FCM) algorithm based segmentation technique is discussed in this paper. By using this algorithm a particular region can be segmented by performing the background separation in-order to extract only the infected regions. By calculating the Peak Signal to Noise Ratio (PSNR) values the performance measures of our system can be obtained.

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Keywords

Medical Image, Segmentation, FCM, PSNR.

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