In this research article, a novel segmentation technique to extract the brain portion from Magnetic Resonance Image (MRI) of human head scans based on Chan – Vese and Morphological Operations is proposed. First we extracted the rough brain portion using Chan – Vese method and the applying the morphological Operations to segment the fine brain portion. The initial Contour is drawn at the brain image and then propagated to achieve the boundary of the brain image. Then using morphological operation like Erosion and Dilation, the remaining portions were segmented. Comparison of the numerical results obtained from the extracted images, with the standard manual skull stripping gold images and significant results are presented here. The performance of the method is estimated using the Jaccard and Dice similarity Coefficients. The IBSR datasets of brain images are used to evaluate the efficiency of the proposed method and the results shown that which are better than the existing methods such as Brain Surface Extractor (BSE) and Brain Extraction Tool (BET).

Brain Extraction,Image Segmentation,Magnetic Ressonance Image (MRI),Chan - Vese,Morphological operations

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