图像降噪组合滤波优化算法  

A Optimized Compounding Algorithm for Filtering the Noise in Image

作　　者：谢可夫[1] 黄建平[1] 许光平[2] 

机构地区：[1]湖南师范大学图像识别与计算机视觉研究所,长沙410081 [2]湖南师范大学物理与信息学院,长沙410081

出　　处：《计算机工程与应用》2003年第26期84-85,88,共3页Computer Engineering and Applications

摘　　要：论文利用中值滤波算子和灰度数学形态学中的开、闭算子设计了一种用于灰度图像降噪处理的优化组合滤波算法。提出了一种简单、实用的评价函数用于算法的优化过程。该算法能根据输入噪声图像自动调整算子的组合结构获得最佳的滤波输出,并克服了中值滤波算法在处理灰度图像时对噪声强度的敏感问题。该优化算法简洁、耗时少。算法的实用性用计算机进行了仿真验证。A optimized compounding algorithm for filtering the noise in image is designed by compounding the opera-tors of median filter and open-close in gray mathematics morphology in this paper.A simple and utility function for e-valuating optimization is proposed.This algorithm can adjust automatically the compounding configuration of operators to acquire best result of filtering and overcome the sensitivity to intensity of noise in using median operator for filtering gray image.This algorithm is concision and has a little cost of time.Its practicability is validated and simulated by means of computer.

关 键 词：图像滤波 数学形态学 中值滤波 优化 

分 类 号：TN911.73[电子电信—通信与信息系统]