Brain MRI segmentation for tumor detection using cohesion based self merging algorithm

In this paper, we present segmentation of brain MRI for the purpose of determining the exact location of brain tumor using CSM based partitional K means clustering algorithm. CSM has attracted much attention as it gives efficient result as a self merging algorithm compared to other merging processes and the effect of noise is also less and the probability of obtaining the exact location of tumor is more. Our approach is much simpler and computationally less complex and computation time is very less.