Medical Image Segmentation using Level set Method without reinitialization

In this paper we have proposed a segmentation method based on level set without re-initialization approach, applied with certain specific shape based model, for medical images. Level set method without re-initialization, with certain specific shape based model has advantages over level set method with reinitialization. Large time steps are possible with the proposed method which speeds up the process of curve evolution. We have applied the proposed approach on several medical images. Results on six different kidney images are being presented in this paper. We have also compared performance of the proposed method with other existing methods. The proposed method is found to be better as compared to the other existing methods.

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