在图像处理中，有些图像既没有明显的边缘，也缺乏明显的纹理特征，传统的分割方法及GAC模型将难以成功实现图像分割。于是提出了C-V模型，其基本思想与传统的基于区域的图像分割方法是一致的：都是根据能量最小原则。

-Image processing, some of the images is neither obvious edge, but also the lack of obvious texture features, the traditional method of segmentation and the GAC model will be difficult to successfully achieve segmentation. Therefore, put forward a CV model, the basic idea of ​ ​ the traditional region-based image segmentation method is the same: are based on the principle of minimum energy.