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This paper proposed a method for brain tumor detection from the magnetic resonance imaging (MRI) of human head scans. The proposed work explained the tumor detection process by means of image processing transformations and thresholding technique. The MRI images are preprocessed by transformation techniques and thus enhance the tumor region. Then the images are checked for abnormality using fuzzy symmetric measure (FSM). If abnormal, then Otsu’s thresholding is used to extract the tumor region. Experiments with the proposed method were done on 17 datasets. Various evaluation parameters were used to validate the proposed method. The predictive accuracy (PA) and dice coefficient (DC) values of proposed method reached maximum.

A Simple Image Processing Approach To Abnormal Slices Detection From MRI Tumor Volumes