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Level Set Method based on Chan-Vese(C-V) model is widely used in image processing and computer vision. However, there are some drawbacks when C-V model processes Ultrasonic Cardiogram(UCG) images. For example, the accuracy is influenced by noise and speckle in UCG image and some problems such as numerical error and time consuming are caused by re-initialization in level set evolution. Therefore, a novel level set method based on C-V model was proposed in this paper. First of all, the C-V's Partial Differential Equation(PDE) was improved. Second, three signed distance penalizing energy function was analyzed and compared, then the best one which forces the level set function(LSF) to be close to a signed distance function was chosen in this paper. Experiments results showed that the proposed method not only eliminated the effect of speckles on UCG image segmentation, but also reduced the computational cost and avoided numerical errors caused by re- initialization. Besides, the obtained contour curve was much smoother.

A Novel Level Set Method for Ultrasonic Cardiogram Segmentation Based On Chan-Vese Model