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Adaptive Detection Algorithm for Ultrasonic Signal Lines of Polyethylene PipelineChinese Full TextEnglish Full Text (MT)

LI Libin;GU Zhen;ZHOU Jiale;YAN Bingyong;WANG Huifeng;School of Information Science and Engineering, East China University of Science and Technology;

Abstract: In the ultrasonic imaging of polyethylene(PE) pipe joints, the detection of characteristic line, resistance wire and echo of pipe inner wall is the key technology to realize automatic identification of welding defects. Aiming at the characteristics of obvious longitudinal stratification and more global interference in ultrasonic image, an adaptive ultrasonic signal line detection algorithm for polyethylene pipeline is proposed. Firstly, the grayscale image is adaptively blurred and projected in the horizontal direction to identify the hierarchical area. Secondly, based on the target feature and spatial information, an improved adaptive threshold segmentation algorithm is proposed to detect feature lines. Thirdly, the Otsu-CRF algorithm is proposed to detect the signal line of the resistance wires. Finally, the detection of pipeline inner wall echo is fulfilled by color space conversion and threshold segmentation. It is shown via experimental results that the proposed adaptive algorithm can completely detect three signal lines and enhance the detection effect and efficiency compared with the existing algorithms. It also verifies the feasibility of applying the algorithm to the automatic detection of ultrasonic signal line of polyethylene pipe electrofusion welding joint.
  • DOI:

    10.14135/j.cnki.1006-3080.20201107001

  • Series:

    (B) Chemistry/ Metallurgy/ Environment/ Mine Industry

  • Subject:

    Organic Chemical Industry

  • Classification Code:

    TQ325.12

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