Improved implementation of brain MRI image segmentation using Ant Colony System

Ant Colony Optimization (ACO) metaheuristic is a recent population-based approach inspired by the observation of real ants colony and based upon their collective foraging behavior. In This paper, the proposed technique ACO hybrid with Fuzzy segmentation. In the first step, the MRI brain image is Segmented Aco Hybrid with Fuzzy method to extract the suspicious region. In the second step deals with similarity between proposed segmented algorithms and Radiologist report. The tumor position and pixel similarity of the Aco Hybrid with Fuzz techniques are measured with Radiologist report.