基于水平集曲率流的图像处理。
Image processing via level set curvature flow.
作者信息
Malladi R, Sethian J A
机构信息
Lawrence Berkeley Laboratory, University of California, Berkeley, CA 94720, USA.
出版信息
Proc Natl Acad Sci U S A. 1995 Jul 18;92(15):7046-50. doi: 10.1073/pnas.92.15.7046.
We present a controlled image smoothing and enhancement method based on a curvature flow interpretation of the geometric heat equation. Compared to existing techniques, the model has several distinct advantages. (i) It contains just one enhancement parameter. (ii) The scheme naturally inherits a stopping criterion from the image; continued application of the scheme produces no further change. (iii) The method is one of the fastest possible schemes based on a curvature-controlled approach.
我们提出了一种基于几何热方程曲率流解释的可控图像平滑与增强方法。与现有技术相比，该模型具有几个明显的优势。(i)它仅包含一个增强参数。(ii)该方案自然地从图像中继承了一个停止准则；继续应用该方案不会产生进一步的变化。(iii)该方法是基于曲率控制方法的最快可能方案之一。
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