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改进的基于梯度幅值的自适应边缘检测算法
引用本文:赵京东,赵景秀. 改进的基于梯度幅值的自适应边缘检测算法[J]. 光电子技术, 2009, 29(2)
作者姓名:赵京东  赵景秀
作者单位:1. 曲阜师范大学,数学科学学院,山东,曲阜,273165
2. 曲阜师范大学,计算机科学学院,山东,日照,276826
基金项目:山东省教委科技创新项目 
摘    要:分析文献[1]给出的算法.针对其中存在的问题和不足,给出了一个改进算法.实验结果表明,改进算法弥补了原文算法中的缺陷,在获取连续边缘的同时也较好地抑制了噪声,在运算效率方面有了明显的提升,并节省了大量的内存空间.

关 键 词:梯度幅值  阈值  边缘检测  自适应

An Improved Self-adaptable Algorithm of Edge-detection Based on the Gradient Magnitude
Zhao Jingdong,Zhao Jingxiu. An Improved Self-adaptable Algorithm of Edge-detection Based on the Gradient Magnitude[J]. Optoelectronic Technology, 2009, 29(2)
Authors:Zhao Jingdong  Zhao Jingxiu
Affiliation:Zhao Jingdong1,Zhao Jingxiu2(1.School of Mathematical Science,Qufu Normal University,Qufu Shandong 273165,CHN,2.School of Computer Science,Rizhao Shandong 276826,CHN)
Abstract:Aimed at the deficiencies in the algorithm given by the reference[1],this paper gives an improved algorithm.The experimental results show that this algorithm compensated for the deficiencies in the original algorithm.It not only received consecutive edge but also restrained noise was better,and its operational efficiency has been noticeably improved and saves a lot of memory space than the original algorithm.
Keywords:gradient magnitude  threshold  edge-detection  automatic adaptation  
本文献已被 CNKI 万方数据 等数据库收录!
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