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一种基于Soft形态学的图像边缘检测算法
引用本文:颜七笙,王士同,燕孝飞.一种基于Soft形态学的图像边缘检测算法[J].微机发展,2005,15(11):139-140,143.
作者姓名:颜七笙  王士同  燕孝飞
作者单位:[1]江南大学信息工程学院,江苏无锡214122 [2]东华理工学院,江西抚州344000
基金项目:东华理工学院硕博基金项目(DHBO404)
摘    要:概述了软数学形态学的基本原理及形态学在图像边缘检测中的应用.根据软形态学单调性、扩展性和反扩展性等基本理论,成功构造了一种新型软形态边缘检测算法,该算法具有较好的抗噪和边缘提取能力.对一幅加有椒盐噪声的灰度图像的仿真试验结果表明,该方法比传统的基于模板的图像边缘检测算法和标准形态学边缘检测算法具有更好的图像边缘提取效果.

关 键 词:软形态学  边缘检测  结构元素
文章编号:1005-3751(2005)11-0139-02
收稿时间:2005-01-19
修稿时间:2005-01-19

An Edge-Detection Algorithm Based on Soft Mathematical Morphology
YAN Qi-sheng, WANG Shi-tong, YAN Xiao-fei.An Edge-Detection Algorithm Based on Soft Mathematical Morphology[J].Microcomputer Development,2005,15(11):139-140,143.
Authors:YAN Qi-sheng  WANG Shi-tong  YAN Xiao-fei
Affiliation:1. School of Information Engineering, Southern Yangtze University, Wuxi 214122, China; 2. East China Institute of Technology, Fuzhou 344000, China
Abstract:In this paper, the soft morphology, which can be applied to detect edge, is introduced and discussed. A new edge-detection algorithm is constructed, based on the monotonicity, extensibility and anti-extensionality of the soft morphology. With experiments on the image blurred with salt and pepper noises, the algorithm obtained better results than traditional algorithms.
Keywords:soft morphology  edge-detection  structure element
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