Abstract

This paper presents a new method of medical image (Brain MRI) segmentation based on variational level set for active contour model. In this approach of segmentation, image intensities are represented by Gaussian distribution with distinct means and standard deviations. Local means and standard deviations of images are effectively utilized to segment the brain MR images having intensity inhomogeneities. Additionally, this model is able to differentiate the homogeneous intensity areas having different local standard deviations. This model is tested for brain MR images having different types of abnormalities like Hemorrhage, Infarction and Tumor.

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