An Automated Method for Brain Tumor Segmentation Based on Level Set

Maryam Taghizadeh Dehkordi

Abstract


 In this paper, an automatic method has been proposed for tumor segmentation. In this method, a new energy function by introducing the feature tumor is determined implemented by level set. Multi-scale Morphology Fuzzy filter is applied to the image and its output determines the tumor feature. The initial contour selection is important in active contour models. Therefor the initial contour has been selected automatically by using Hough transform and morphology function. Experimental results on MR images verify the desirable performance of the proposed model in comparison with other methods.


Keywords


Tumor segmentation; Multi-scale fuzzy filter; feature; energy function; Level set.

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References


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