BRAIN TUMOUR SEGMENTATION USING GENETIC AND ANT COLONY

Of late, efficient detection of human brain tumor has become one of the major challenges in clinical diagnostics. In this paper, a model for Enhanced probabilitybased fuzzy C means using the Genetic algorithm (EPFCGA) is suggested. It includes image edge detection using ant colony (EPFCGAAC) algorithm with magnetic resonance imaging (MRI). The genetic algorithm is optimized operator so as to get the best output. The probability-based fuzzy C-means (PFCM) algorithm is used in the second stage, By adding the image edge detection via the usage of the Ant colony tumor position is detected from MR images. The investigation results show high accuracy in detecting the brain tumor from MR Images by hybrid soft computing techniques.