An Improved Segmentation Approach Using Level Set Method with Dynamic Thresholding for Tumor Detection in Mri Images

In this paper an improved approach for segmentation of brain tumor using MRI images has been presented. This approach consists of three steps, namely: preprocessing, segmentation and post processing. The preprocessing has been carried out using skull stripping and histogram equalization techniques. The region of interest is segmented by applying conventional Level Set method to the preprocessed image. The segmented image consists of distortions at the boundaries which lead to boundary leakage problem. This can be minimized by applying dynamic Thresholding technique and region localization method. The proposed method achieved better accuracy of segmentation as compared to the conventional level set segmentation method.