Medical image segmentation is an important tool in viewing and analyzing Magnetic Resonance Images (MRI) and solving variousranges of problems in medical imaging. This paper focuses the new approach to segmentation by clustering the image by Genetic Algorithm based Fuzzy C-means clustering (FCM). First segmentation can be done with the help of FCM. Fuzzy C-means can be used to segment the image with fuzzy pixel classification. Then, Genetic Algorithm (GA) is applied to optimize the clustering result. It includes operations like Encoding, Population Initialization, Reproduction, Crossover, Mutation and Termination. It provides near optimal solution for objective function of an optimization problem. Hence GA based FCM is a novel method to segment the magnetic resonance brain images. Inspite of having more computational complexity, the accuracy is good for segmenting medical images.

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Segmentation Clustering Fuzzy C-means Genetic Algorithm Mri.