Brain Tumor Segmentation by FCM and Enhancement by ANN, using GLCM Based Feature Extraction

Brain Tumor is an uncontrolled growth of tissues in brain. Robust segmentation of brain tissues is very important for the detection and diagnosis of brain tumor. Clustering techniques could be best utilized by combining them with other techniques. In this paper the idea is to combine two metaphors: Neural Network and Fuzzy Logic. The Neuro-Fuzzy system combines the learning power of Artificial Neural Network system and explicit knowledge representation of fuzzy inference system. The proposed system consists of four stages: Pre-processing of various brain images, Feature extraction using Gray Level Co-occurrence Matrix (GLCM) and classification and segmentation of brain images through Hybrid Neuro-Fuzzy System.