互联网 qkzz.net
全刊杂志网:首页 > 女性 > 文章正文
刊社推荐

基于模糊逻辑的脉冲噪声自适应滤除


  摘 要:为了去除具有多个随机值的普通脉冲噪声,提出一种基于模糊逻辑的自适应去噪方法。首先,利用像素邻域梯度并结合模糊逻辑相关理论进行噪声点初步检测;然后,通过噪声直方图统计对噪声点作二次检测,排除误判的噪声点;最后,保留非噪声点,对噪声点进行自适应加权均值滤波,滤除噪声。仿真结果表明,该算法可以取得优于传统方法的去噪效果,并且能很好地保护图像的边缘和纹理信息。

  关键词:脉冲噪声; 邻域梯度; 模糊逻辑; 噪声直方图

  中图分类号:TP 391.41文献标志码:A

  文章编号:1001-3695(2010)06-2377-03

  doi:10.3969/j.issn.10013695.2010.06.109

  Impulse noise adaptive removal based on fuzzy logic

  WEN Tinga, ZHOU Jiliub, HE Kunb

  (a. College of Electronic & Information, b.College Computer, Sichuan University, Chengdu 610065, China)

  Abstract:To remove the impulse noise with random values, this paper proposed an adaptive noise removal method based on fuzzy logic. Firstly, detected the noise pixels initially by the neighboring gradients of pixels and fuzzy logic theory. Secondly, detected the noise pixels secondarily by noise histogram statistics and excluded wrong noise pixels. Lastly, preserved the nonnoise pixels and removed noise pixels by adaptive weighted mean filter. Simulation results show that the method can get better performance than traditional algorithms and it can preserve fine edges and texture details.

  Key words:impulse noise; neighboring gradients; fuzzy logic; noise histogram

......
很抱歉,暂无全文,若需要阅读全文或喜欢本刊物请联系《计算机应用研究》杂志社购买。
欢迎作者提供全文,请点击编辑
分享:
 

了解更多资讯,请关注“木兰百花园”
分享:
 
精彩图文


关键字
支持中国杂志产业发展,请购买、订阅纸质杂志,欢迎杂志社提供过刊、样刊及电子版。
关于我们 | 网站声明 | 刊社管理 | 网站地图 | 联系方式 | 中图分类法 | RSS 2.0订阅 | IP查询
全刊杂志赏析网 2017