Defect detection and characteristics description of auto hub radiographic image based on SUSAN operation

  • Authors:

  • Yaoyu Cheng;Yan Hu;Yu Wang

  • Affiliations:

  • National Key Laboratory for Electronic Measurement Technology, College of information and communication engineering, North University of China, Taiyuan City, Shanxi Province, China;National Key Laboratory for Electronic Measurement Technology, College of information and communication engineering, North University of China, Taiyuan City, Shanxi Province, China;National Key Laboratory for Electronic Measurement Technology, College of information and communication engineering, North University of China, Taiyuan City, Shanxi Province, China

  • Venue:
  • WSEAS Transactions on Mathematics
  • Year:
  • 2009

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Abstract

The collected images' target object is faint in the auto hub real-time X-ray detection, so it is easily making the miscarriage of justice in the auto hub detection. Most of the current method of detection of defects is by manual detection, so it is very difficult to improve detection efficiency and detection accuracy. Aiming at these issues and combining with the characteristics that auto hub's image have so much noise source, it is adopted SUSAN operator for defect images' edge detection, which is based on the image second partition, and it is achieved good results in edge detection by this method. And then it carried through defect detected for the image, such as, the number, level, center of gravity, area, and circle degree of defects. This can effectively improve the detection efficiency and the accuracy of detection. The experimental results show that the method is feasible in practical applications, and it has strong anti-interference ability, good real-time detection and high efficiency compared with traditional methods.