基于简化PCNN的脉冲噪声滤波  

Noise Image Filtering Method Based on Simplified PCNN

作　　者：郭旭展[1] 姚建峰[1] 

机构地区：[1]信阳师范学院计算机与信息技术学院,河南信阳464000

出　　处：《软件导刊》2015年第2期143-145,共3页Software Guide

基　　金：河南省教育厅科学技术研究重点项目(12A520036);信阳师范学院青年基金项目(20100064)

摘　　要：基于脉冲耦合神经网络,提出了一种有效的脉冲噪声图像滤波算法。利用PCNN相似群神经元同步发放脉冲的特性检测噪声点,并利用中值滤波对噪声点进行滤波。仿真表明,该方法对不同强度的噪声图像均体现了较好的滤波性能,在去噪效果和运行效率上同其它方法相比具有明显优势。Based on Pulse Coupled Neural networks ,an effective pulse noise image filtering method is proposed .Synchro‐nous pulses were burst by using the similar groups of neurons in a PCNN ,whereby the noise pixels are detected;then me‐dian filtering method filtered the noise in a noise image .Simulation results show that the proposed method has excellent filtering performance for the noise images of different noise intensity ,the proposed method has remarkable superiority over other ones in both simulation performance and running efficiency .

关 键 词：脉冲耦合神经网络 脉冲噪声 同步脉冲 

分 类 号：TP317.4[自动化与计算机技术—计算机软件与理论]