灰度图像加权有向平滑滤波算法  

Weighted and directional smoothing algorithm for gradation images

作　　者：杨吉宏[1] 胡顺波[2] 张民[1] 薛凌燕[1] 

机构地区：[1]聊城大学计算机学院,山东聊城252059 [2]临沂师范学院物理系,山东临沂276005

出　　处：《计算机工程与设计》2010年第1期153-156,共4页Computer Engineering and Design

基　　金：山东省自然科学基金重点项目(Z2006C05);聊城大学科研基金项目(X041040)

摘　　要：为克服常用平滑滤波算法不能兼顾去噪和保持图像细节的不足,提出了加权有向平滑滤波算法。先根据相似者相容的原理得到待处理像素与各滤波模板的隶属关系,从而判断待处理像素是噪声点,是图像本身像素,还是图像背景像素,然后选用相应加权有向或无向平滑模板对待处理像素进行平滑处理。实验仿真结果表明,加权有向平滑滤波算法既能有效地滤除灰度图像中的噪声,又能很好保护图像的边缘和细节,弥补了常用空域平滑滤波算法不能兼顾去噪和保持图像细节的不足。In order to overcome the shortage that the traditional smoothing algorithm can not keep gradation images＇ edges and details well as well as filters out noises, a weighted and directional smoothing algorithm is introduced. First tojudge which templates the pending pixel should belong to according to compatibility and similitude principle, then using the corresponding weighted and directional template or nodirectional template to smooth the pending pixel. The simulation results show that the weighted and directional smoothing algorithm filters out noises as well as keeps medical gradation images＇ edges and details well. In this respect, the algorithm remedies the shortage of common smoothing algorithm.

关 键 词：灰度图像 加权有向 平滑 边缘保持 去噪 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]