Traditional deformable model based segmentation is a method merely based on edge information, which does not make full use of image information.
传统的基于可变模型的分割方法是一种只基于边界信息的分割方法,就充分利用图像信息的角度来说有其局限性。
Based on feature edge identification, a practical simplification method is proposed for closed and non-smooth polyhedral model.
提出了基于特征边识别的实用的非光滑封闭多面体模型的简化方法。
Through summarizing and analyzing various methods' characters and shortages, this paper proposes an image interpolation method based on ramp edge model.
通过总结和分析各算法的特点和不足,我们提出了基于斜坡边缘模型的图像插值方法。
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