现代电子技术2016，Vol.39Issue(21)：70-74,5.DOI:10.16652/j.issn.1004-373x.2016.21.017
基于柔性形态学滤波优化的周期性噪声消除算法
Periodic noise elimination algorithm based on soft morphological filtering optimization
摘要
Abstract
In order to solve the image distortion and poor noise reduction effect of the periodic noise filtering,a periodic noise elimination algorithm based on soft morphological filtering is proposed. On the basis of the mathematical morphology thought,a soft morphological filter was constructed. The combination of morphology open-close operation and close-open opera-tion is used to improve the noise suppression performance of the filter. The technology of using particle swarm optimization to couple the passive congregation is used to improve the information sharing mechanism,optimize the five main parameters of soft morphological filter,output the optimal value,and eliminate the periodic noise. The experimental results show that,in compari-son with the available noise elimination technology,the proposed algorithm has stronger robustness for periodic and mixed noise,and protects the image detail information while removing the noise.关键词
周期性噪声/柔性形态滤波器/粒子群优化/信息共享/被动聚集Key words
periodic noise/soft morphological filter/particle swarm optimization/information sharing/passive congregation分类
信息技术与安全科学引用本文复制引用
卫星,焦蓬蓬,史永..基于柔性形态学滤波优化的周期性噪声消除算法[J].现代电子技术,2016,39(21):70-74,5.基金项目
江苏省高校自然科学基金(15KJB170006) （15KJB170006）
南京师范大学泰州学院院级项目(Q201238) （Q201238）
