曲率差分驱动下极小曲面滤波器模型设计及测试  

Model Design and Test of Minimal Curved Surface Filter Driven by Differential Curvature

作　　者：於平[1] YU Ping(Chuzhou City Vocational College,Chuzhou,Anhui 239000,China)

机构地区：[1]滁州城市职业学院,安徽滁州239000

出　　处：《九江学院学报（自然科学版）》2021年第3期18-21,共4页Journal of Jiujiang University：Natural Science Edition

基　　金：2019年安徽省教育厅项目(编号SK2019A0215)的成果之一。

摘　　要：为了进一步改善图像降噪性能,文章在MCF算法基础上进行了改进,引入曲率差分函数,形成MSF算法模型。利用微分几何处理思想,探究极小曲面滤波功能实现方法,设计MSF算法伪代码。实验测试结果表明,MSF算法在图像降噪中的应用,边缘保持性能、降噪性能较MCF算法优势更加显著,可以作为图像降噪处理工具。In order to further improve the performance of image noise reduction,this paper had made improvements on the basis of the MCF algorithm and introduced the curvature difference function to form the MSF algorithm model.Using the idea of differential geometry processing,explore the realization method of the filtering function of the minimal surface,and design the pseudo code of the MSF algorithm.Experimental test results showed that the application of MSF algorithm in image noise reduction has more significant edge retention performance and noise reduction performance than MCF algorithm,and it could be used as an image noise reduction processing tool.

关 键 词：极小曲面 滤波器 图像降噪 

分 类 号：G633.7[文化科学—教育学]