Edge detection algorithm based on SUSAN operation on auto hub image

  • Authors:
  • Yaoyu cheng-Shuxian Zhang;Yan Hu-Yu Wang

  • Affiliations:
  • National Key Laboratory for Electronic Measurement Technology, North University of China, Taiyuan City, Shanxi Province, China;National Key Laboratory for Electronic Measurement Technology, North University of China, Taiyuan City, Shanxi Province, China

  • Venue:
  • MUSP'09 Proceedings of the 9th WSEAS international conference on Multimedia systems & signal processing
  • Year:
  • 2009

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Abstract

When carrying on X-ray real-time crack detection to the aluminium-alloy cast, because a lot of goal object in collected images has blurring contour, it is apt to cause the erroneous and omissive judgement to the cast while commenting one like this. Aiming at this kind of phenomenon, combining the characters of many image noise fountainheads, applied SUSAN operation to carry out the edge detection to the defect image of aluminium-alloy cast, and achieved a good edge extraction result. The results of experiments prove the efficiency of the proposed approach in practical applications. it can detect the edge of defect rapidly and exactly, and then it's more convenient for staff to see them.