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数字射线图像缺陷的Canny算子边缘检测

杨坪, 蒋应田, 洪振鹏, 张建成, 张建筑

杨坪, 蒋应田, 洪振鹏, 张建成, 张建筑. 数字射线图像缺陷的Canny算子边缘检测[J]. 无损检测, 2008, 30(7): 422-425.
引用本文: 杨坪, 蒋应田, 洪振鹏, 张建成, 张建筑. 数字射线图像缺陷的Canny算子边缘检测[J]. 无损检测, 2008, 30(7): 422-425.
YANG Ping, JIANG YingTian, HONG ZhenPeng, ZHANG JianCheng, ZHANG JianZhu. The Defect Image Processing by Canny Operator for Digital Radiography in Frequency Dominant[J]. Nondestructive Testing, 2008, 30(7): 422-425.
Citation: YANG Ping, JIANG YingTian, HONG ZhenPeng, ZHANG JianCheng, ZHANG JianZhu. The Defect Image Processing by Canny Operator for Digital Radiography in Frequency Dominant[J]. Nondestructive Testing, 2008, 30(7): 422-425.

数字射线图像缺陷的Canny算子边缘检测

详细信息
    作者简介:

    杨坪(1974-),女,硕士,从事NDT/NDE工程技术应用领域的教学和研究工作。

  • 中图分类号: TG115.28

The Defect Image Processing by Canny Operator for Digital Radiography in Frequency Dominant

  • 摘要: 研究射线检测中缺陷影像频域增强处理后的Canny算子边缘检测处理。使用Matlab 7实现处理流程,对处理结果进行了分析。采用双阈值方法,通过滞后阈值化处理,可对Canny算子边缘检测的处理结果进行优化以提高可视性。实验证实,Canny算子边缘检测处理及优化技术可获得典型缺陷影像的边缘,可视性较好。
    Abstract: Using the Canny operator to process the frequencydomain enhancement image by Matlab was presented. The processing results were optimized in dual threshold way by hysteretic threshold to improve the visibility. It was proved that the Canny edge detector processing could effectively detect the edge of the classical defects in digital radiography image. It was validated that the visibility could be improved greatly.
  • [1] John Canny. A computational approach to edge detection[J]. IEEE Trans Pattern Analysis and Machine Intelligence,1986,PAMI8(1):679-697.
    [2] Kenneth R Castleman.数字图像处理技术[M].北京:电子工业出版社,1998.
    [3] 王新成.高级图像处理技术[M].北京:中国科学技术出版社,2001.
    [4] 孙兆林. MATLAB 6 X图像处理[M].北京:清华大学出版社,2002.
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出版历程
  • 收稿日期:  2007-06-21
  • 刊出日期:  2008-07-09

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