| 注册
首页|期刊导航|软件导刊|基于简化PCNN的脉冲噪声滤波

基于简化PCNN的脉冲噪声滤波

郭旭展 姚建峰

软件导刊Issue(2):143-144,145,3.
软件导刊Issue(2):143-144,145,3.DOI:10.11907/rjdk.143807

基于简化PCNN的脉冲噪声滤波

Noise Image Filtering Method Based on Simplified PCNN

郭旭展 1姚建峰1

作者信息

  • 1. 信阳师范学院计算机与信息技术学院,河南信阳464000
  • 折叠

摘要

Abstract

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

Key words

Pulsed Coupled Neural network/Pulse noise/Synchronous Pulse

分类

信息技术与安全科学

引用本文复制引用

郭旭展,姚建峰..基于简化PCNN的脉冲噪声滤波[J].软件导刊,2015,(2):143-144,145,3.

基金项目

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 ()

软件导刊

1672-7800

访问量0
|
下载量0
段落导航相关论文