Author(s):
S. Syes Abdul Syed, T. Senthil Kumaran
Email(s):
Medical Image , Segmentation , FCM , PSNR.
DOI:
10.5958/0974-360X.2017.00797.1 
Address:
S. Syes Abdul Syed, T. Senthil Kumaran
Research Scholar, Department of Information Technology, AMET University, Chennai.
Associate Professor, Department of Computer Science, ACS College of Engineering, Bangalore.
*Corresponding Author
Published In:
Volume - 10,
Issue - 12,
Year - 2017
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.
Cite this article:
S. Syes Abdul Syed, T. Senthil Kumaran. FCM based Segmentation for Medical Images. Research J. Pharm. and Tech 2017; 10(12): 4350-4352. doi: 10.5958/0974-360X.2017.00797.1
Cite(Electronic):
S. Syes Abdul Syed, T. Senthil Kumaran. FCM based Segmentation for Medical Images. Research J. Pharm. and Tech 2017; 10(12): 4350-4352. doi: 10.5958/0974-360X.2017.00797.1 Available on: https://rjptonline.org/AbstractView.aspx?PID=2017-10-12-48