Image segmentation using K-mean clustering for finding tumor in medical application
| ||International Journal of Computer Trends and Technology (IJCTT)|| |
|© - May Issue 2013 by IJCTT Journal|
|Volume-4 Issue-5 |
|Year of Publication : 2013|
|Authors :Piyush M. Patel, Brijesh N Shah, Vandana Shah|
Piyush M. Patel, Brijesh N Shah, Vandana Shah"Image segmentation using K-mean clustering for finding tumor in medical application"International Journal of Computer Trends and Technology (IJCTT),V4(5):1239-1242 May Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract: -Clustering algorithms have successfully been applied as a digital image segmentation technique in various fields and applications. However, those clustering algorithms are only applicable for specific images such as medical images, microscopic images etc. In this paper, we present a new clustering algorithm called Image segmentation using K-mean clustering for finding tumor in medical application which could be applied on general images and/or specific images (i.e., medical and microscopic images), captured using MRI, CT scan, etc. The algorithm employs the concepts of fuzziness and belongingness to provide a better and more adaptive clustering process as compared to several conventional clustering algorithms.
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Keywords — clustering methods; K-means segmentation; partitioning methods; hierarchical methods; density-based methods; centroid method.