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基于改进SUSAN算子的图像边缘检测算法
引用本文:罗忠亮. 基于改进SUSAN算子的图像边缘检测算法[J]. 重庆理工大学学报(自然科学版), 2009, 23(5): 102-106
作者姓名:罗忠亮
作者单位:韶关学院计算机系;
基金项目:广东韶关学院科研项目(2007年220号)
摘    要:首先介绍了SUSAN边缘检测算子的原理;然后对算法中灰度差阈值的选择方式进行了改进,采用一种自适应选取阈值的方法取代算法中人为的设定阈值,使其在各种不同对比度的图像中都能正确提取出图像边缘;最后运用该算法进行了图像边缘检测测试,并与其他检测算子进行比较.实验结果表明,该算法具有方法简单、抗噪能力强、计算量小等优点.

关 键 词:边缘检测  SUSAN算子  自适应阈值  

Image Edge Detection Algorithm Based on Improved SUSAN Operator
LUO Zhong-liang. Image Edge Detection Algorithm Based on Improved SUSAN Operator[J]. Journal of Chongqing University of Technology(Natural Science), 2009, 23(5): 102-106
Authors:LUO Zhong-liang
Affiliation:Department of Computer;Shaoguan University;Shaoguan 512005;China
Abstract:SUSAN edge detecting operator is an edge detection algorithm based on comparison of the image gray.First,this article introduces the principle of the operator;then it improves the gray threshold using an adaptive threshold method instead of the one of artificial hypothesis threshold value,which extracts edge correctly in different contrast image;finally,the algorithm is used to test two images and compare them with other detection operators.The results show that the algorithm has traits such as simple metho...
Keywords:edge detection  SUSAN Operator  adaptive threshold  
本文献已被 CNKI 维普 等数据库收录!
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