摘要
以可疑噪声点为中心构建一定大小的邻域,对可疑椒噪声点邻域进行形态学闭滤波,对可疑盐噪声点邻域进行形态学开滤波,并以滤波后的该邻域中心点的灰度值替换可疑噪声点的灰度值,而非可疑噪声点的灰度值保持不变。实验表明,该方案切实可行,滤波后的图像具有均方误差小以及峰值信噪比高等优点。其滤波性能相比标准中值滤波算法、形态开闭组合滤波算法、自适应中值滤波算法等有一定程度的提高。
The suspicious noise points are taken as center to construct a certain size neighborhood in this paper.Morphological close filtering is performed by pepper noise neighborhood.Then,morphological open filtering is applied by neighborhood salt noise point.The gray values of suspected noise points are replaced by filtered gray value of neighborhood center point.During the transforming process,gray values of non-suspicious noise points remain unchanged.Experiments show that this scheme is practical and plausible.The filtered image has advantages of less mean square error and high peak signal-to-noise ratio.Compared with the median filtering algorithm,the morphological open-close filtering algorithm,and the adaptive filtering algorithm,this proposed improved algorithm provides a better filtering property.
作者
文福林
张凯
蒲锋
汤素丽
Wen Fulin;Zhang Kai;Pu Feng;Tang Suli(Department of Electronics,Sichuan Aerospace Vocational College,Guanghan 618300,China;School of Mechanical Engineering,Sichuan University,Chengdu 610065,China)
出处
《电子技术应用》
2021年第3期71-74,共4页
Application of Electronic Technique
基金
四川省重大科技专项项目(20ZDZX0005)。
关键词
椒盐噪声
形态学
滤波
结构元素
salt-and-pepper noise
morphology
filter
structuring elements
