Fuzzy C-Means Clustering with Ant Colony Optimization Algorithm (Fcm-Aco) For Brain Tumor Segmentation

Abstract

The Brain tumor is one of the most common executioner diseases for human being. At present researchers are building up a best optimization algorithm to detect presence of brain tumor based on image segmentation technique.Brain tumor segmentation in multimodal Magnetic Resonance Imaging (MRI) is broadly utilized as a crucial cycle for careful planning and simulation, treatment planning preceding radiation therapy, therapy assessment and intra-employable neuro route and image neurosurgery. In the wake of enhancing the brain MR image, this research, proposed technique is to segment the brain tumor MR image. In this paper we proposed fuzzy c-means clustering with Ant Colony Optimization Algorithm (FCM-ACO) for segmentation. The experimental result shows that the proposed FCM-ACO provides better result.