基于灰度值数学形态学算子的中值曲率驱动方程去噪模型

Image Denoising for Mean Curvature Motion Model Based on Gray-Value Morphological Operator Process

该文通过结合基于灰度值的数学形态学算子(闭开算子),给出了一个改进的中值曲率驱动方程模型,并与原中值曲率驱动方程模型作了比较,且在处理二值图像方面效果显著.主要的想法是在中值曲率驱动方程模型中结合闭开算子,在较好保护边界的前提下,增强方程的去噪能力,达到去噪和保护边界的一个平衡.最后给出基于本改进模型的数值计算差分模型,并且给出了几个具体图像在该改进下处理的结果.

An improved mean curvature motion model incorporating a close-open operator is proposed. Compared with the previous model, the most important advantage of this improvement is that the close-open operator is used in the diffusion process, giving a good trade-off between noise removal and edge preservation.Finally, we give a numerical model and present some results.