DOIONLINE

DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-3948

Publish In
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN
Journal Home
Volume Issue
Issue
Volume-4,Issue-2  ( Feb, 2016 )
Paper Title
MRI Brain Tumor Image Segmentation Using Various Clustering Techniques
Author Name
Sneha r. Dhurkunde, shailaja a. Patil
Affilition
Electronics and tele-communication , North Maharashtra University, India, R. C. Patel Institute of technology, Shirpur, Dist-Dhule, Maharashtra
Pages
56-60
Abstract
Brain tumor is a disconnected magnification of brain cells within the brain. In this paper, we present an efficient brain tumor segmentation methods, that can detect tumor and locate it in the brain MRI images. The result of the clustering algorithm and its domain efficiency are calculated through the algorithms. In this paper, two clustering algorithms namely Kmeans clustering and fuzzy C-means clustering algorithm are implemented and the performance is analysed predicted on their clustering result quality. The comportment of both the algorithms depends on the number of data points as well as number of clusters. The execution time for each algorithm is analysed and results are compared with one another. Keywords— Image Segmentation, K-means Clustering, fuzzy C-means Clustering, Feature extraction, Approximate Reasoning.
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