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枪械內膛疵病图像的边缘检测算法
引用本文:刘立欣,王文生,刘广利.枪械內膛疵病图像的边缘检测算法[J].兵工学报,2005,26(1):105-107.
作者姓名:刘立欣  王文生  刘广利
作者单位:长春理工大学,吉林长春130022
摘    要:首先介绍了零交叉边缘检测算子的基本概念,把高斯平滑滤波器和拉普拉斯锐化器结合起来,在进行边缘检测的同时平滑掉噪声,并提出应用零交叉算子对枪械内膛疵病图像进行边缘检测的实现方法。然后对真实枪械内膛疵病图像进行边缘检测实验,结果表明零交叉边缘检测算子检测到的边缘比较完整,检测方法直观、简便、运算速度快、边缘定位准确且易于实现。

关 键 词:信息处理技术      图像处理      边缘检测      内窥镜      算子  
文章编号:1000-1093(2005)01-0105-03

An Edge Detector for Inside Flaws in Tubes
LIU Li-xin,WANG Wen-sheng,LIU Guang-li.An Edge Detector for Inside Flaws in Tubes[J].Acta Armamentarii,2005,26(1):105-107.
Authors:LIU Li-xin  WANG Wen-sheng  LIU Guang-li
Affiliation:Changchun University of Science and Technology, Changchun, Jilin 130022, China
Abstract:This paper introduced the basic concepts of a zero-crossing edge-detection operator. Combinimg the Gauss smooth filter with the Laplace lancet window, noises, were smoothed out and the edges were detected. Further, an edge detector for the inside flaws was presented. Comparing the results using zero-crossing edge-detection with results using the Sobel operator edge-detection or the Roberts operator from experiments on the inside flaws in tubes, the zero-crossing edge-detection operator shows more edge-details. The results show that zero-crossing edge detection is simpler, more intuitionistic, faster in calculation, more precise in edge locating and easily implemented.
Keywords:information processing technique  image  process  edge detection  endoscope  operator
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