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Abstract
Characterization of a brain tumor has an undoubted importance of the stages of initiations, in the medical ground. This report presents a novel method to sort out the tumors at different levels. Image processing techniques assist this terminology to eliminate the unproductive tasks of classifying and reduce the area under discussion. Background Separation, perimeter checks trim down processing regions, purging the total report of the patients. Established Standard and Growth Points over the tumor area would facilitate the characterization of shape, size and texture. Registered points label the tumor dated from the first stage. Corresponding points of later stages of the same patient would render the change in every aspect of the tumor under study. The proposed methodology is proven to be much efficient than other existing methodologies. The research involved a number of test cases, performance seemed to enhance in time required for classification. The decision of the system mentions the rate of growth and change in aspects straight enough with great accuracy and interpretability.