摘要
提出一种基于统计排序滤波的新的边缘检测算法OFE。说明了算法原理,给出了算法实现的步骤和方法,通过人造图像和自然图像进行仿真实验,对仿真结果进行主客观对比评价分析,表明该边缘检测算法不仅有效,且效果与Sobel等算子相当,高于LOG算子,在处理含脉冲噪声污染的图像时有一定的优势。
In this paper,propose a new edge detection algorithm OFE based on the order- statistical filtering. Illustrates the principle of algorithm and gives the algorithm implementation steps and methods.Through the artificial and natural images simulation experiment,the simulation results are objective and subjective comparison evaluation analysis,show that the edge detection algorithm is not only effective,and the effect same with Sobel operator,higher than that of the LOG operator,the image with impulse noise pollution have certain advantages.
出处
《工业仪表与自动化装置》
2016年第1期3-7,共5页
Industrial Instrumentation & Automation
基金
2010年度甘肃省属高校基本科研业务费专项资金资助"往复式压缩机状态监测及RCM技术研究"(甘财教[2010]176)
关键词
边缘检测
统计排序滤波
滤波窗口
阈值
品质因数
edge detection
order-statistic filter
filter window
threshold
quality factor
