Image segmentation based on Snake model is one of the hot spots in the field of image processing in recent years. The Snake model carries the upper priori knowledge and integrates The underlying characteristics of the image, which are specific to medical image, can be used effectively in the segmentation of medical images. This paper presents an improved algorithm based on Snake model The evolutionary model has been studied, and the latest research results have been focused on the context and development direction of medical image segmentation based on Snake model. -Snake model based on image segmentation image processing technology in recent years one of the hot areas of research. Snake model bearing a priori knowledge of the upper and bottom of the convergence of image features, for the specificity of medical images can be effectively applied to medical image segmentation. In this paper, model-based Snake improved algorithm and evolutionary models were studied and focused on combing the latest research results, in order to grasp the Snake model based on medical image segmentation method of context and direction of development.

基于Snake模型的医学图像分割.pdf

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