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一种基于峰谷滤波的改进算法
引用本文:朱建明,吕振肃,马榕,夏春水.一种基于峰谷滤波的改进算法[J].甘肃科学学报,2006,18(4):64-66.
作者姓名:朱建明  吕振肃  马榕  夏春水
作者单位:兰州大学,信息科学与工程学院,甘肃,兰州,730000
摘    要:在峰谷滤波的基础上提出了一种新的改进算法,首先在噪声污染图像的滤波窗口中去除除中心象素外的最大最小灰度值象素,然后利用中心象素与修改后的邻域进行比较以判断其是否为噪声点.理论分析和图像处理仿真实验表明,改进后的滤波器性能得到较大改善,在有效去除噪声的同时能充分保留原图像细节信息.

关 键 词:非线性滤波  中值滤波器  峰谷滤波器  图像处理
文章编号:1004-0366(2006)04-0064-03
收稿时间:2005-12-22
修稿时间:2005年12月22

An Improved Algorithm Based on the Peak-and-Valley Filtering
ZHU Jian-ming,LU Zhen-su,MA Rong,XIA Chun-shui.An Improved Algorithm Based on the Peak-and-Valley Filtering[J].Journal of Gansu Sciences,2006,18(4):64-66.
Authors:ZHU Jian-ming  LU Zhen-su  MA Rong  XIA Chun-shui
Institution:School of Information Science and Engineering, Lanzhou University, Lanzhou 730000, China
Abstract:A new improved algorithm is proposed based on the peak-and-vally filter. Firstly, except the central pixel, pixels with maximum and minimum gray values in the filtering window are excluded. Then, the central pixel is compared with the neighbors to decide whether it is a noised pixel or not. The theoretical analysis and simulation experiments of the image processing indicate that this improved filter can not only remove noises effectively but also keep the details of the image sufficiently.
Keywords:nonlinear filtering  median filter  peak-and-valley filter  image processing
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