Brain Tumor Segmentation and its Area Calculation in Brain MR Images using K-Mean Clustering and Fuzzy C-Mean Algorithm

In the recent ascensions of the electronic era, brain tumor segmentation in magnetic resonance imaging (MRI) has become popular interest in the field of medical imaging system. Brain tumor segmentation helps the user to determine the precise size of the tumors.  We have suggested a synergistic and an effective algorithm for the detection of brain tumors based on Median filtering, K Means Segmentation, FCM Segmentation, and finally, threshold segmentation. In this proposed approach we enhance the quality of the tumor images acquired by the aid of MRI and then to detect the size of the tumors, approximate reasoning are applied.