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Brain cancer is one of the deadliest diseases in the human community. Early detection is widely preferred to offer better treatment in order to save the patient. In the literature, considerable procedures are proposed and implemented by the researchers. In the proposed work, heuristic approach assisted automated procedure is proposed to segment and analyze the tumor region from the brain Magnetic Resonance Images (MRI). Combination of the Bat Algorithm and Kapur’s Entropy is chosen as the initial processing section to improve the visibility of tumor region and the Active Contour (AC) is then chosen as the final processing section to extract the tumor of brain MRI image. Simulation test was executed on the gray scaled brain images obtained from the literature. The reputation of the proposed approach is confirmed against the ground truths supplied by the expert members. The eminence of the proposed procedure is confirmed by computing the image likeliness measures and the area measures. From the results of the experimental work, it can be noted that, the proposed approach offers better result on the gray scaled brain MRI image. Finally, the clinical significance by contributing superior values of image similarity and statistical measure values. Keyword-Brain MRI, Tumor, Entropy, Active contour, Analysis

A Soft-computing Assisted Tool to Detect and Analyse Brain Tumor