Image segmentation is used to extract the abnormal tumor portion in brain. Brain tumor is an abnormal mass of tissue in which cells grow and multiply uncontrollably, apparently unregulated by mechanisms that control cells. Segmentation of brain tissue in the magnetic resonance image (MRI) is very important for detecting and existence of outlines the brain tumor. In this research an algorithm for segmentation based on the symmetry character of brain image is presented. Our goal is to detect the position and edge of tumors automatically. Restorative picture dissection What`s more preparing need extraordinary importance in the field about medicine, particularly clinched alongside non-invasive medicine and clinical study. It aides those doctors to visualize Furthermore examine the picture to see abnormalities previously, internal structures. This suggested system comprises for four phases. Over 1st phase MRI picture is procured toward utilizing MATLAB. In the second stage pre-processing need been done. This pre-processed MRI cerebrum picture is normalized also improved to attain computational consistency. In the third stage high back commotion parts are evacuated toward suitableness filters. For fourth stage the tumor a piece need been fragmented utilizing successful hereditary calculation and the execution Investigation need been made.

MRI, Segmentation, Genetic Algorithm, Morphological operations.

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