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Joint inspection in X-ray #0 belt tire based on periodic texture

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Abstract

Based on X-ray image of tire with periodic texture, this paper proposes an algorithm of detecting joint in #0 belt. Firstly, by projecting #0 belt image at 45° direction, we divide #0 belt image into several blocks with the same size based on periodic texture. Then, we find out the block containing joint and locate its upper and lower boundaries. Finally, upper and lower boundaries of joint are located by comparing the block containing joint with its corresponding standard block. The standard block is one of segmented blocks in first step. We quantify joint defects in #0 belt (large joint, small joint or appropriate joint), and experimental results show that our algorithm can accurately locate the joint and quantify the size of joint with 3.4% false positive rate and 2% false negative rate, which meets the industrial requirements.

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Acknowledgments

We would like to thank anonymous reviewers for their helpful comments on the paper. This research was supported by National Natural Science Foundation of China (No. 61501278, 61602229), Natural Science Foundation of Shandong (ZR2016FM13, ZR2014FP003, ZR2014FQ012), Project of Shandong Province Higher Educational Science and Technology Program (No. J14LN25), and Qingdao Municipal Applied Basic Research Project (No. 15-9-1-111-jch).

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Authors and Affiliations

  1. Department of Information and Control Engineering, Qingdao University of Technology, Qingdao, 266520, China

    Zeju Wu & Wenjing Liu

  2. Department of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao, 266042, China

    Jiajia Lin

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  1. Zeju Wu
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  2. Jiajia Lin
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  3. Wenjing Liu
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Correspondence to Zeju Wu.

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Wu, Z., Lin, J. & Liu, W. Joint inspection in X-ray #0 belt tire based on periodic texture. Multimed Tools Appl 78, 9299–9310 (2019). https://doi.org/10.1007/s11042-018-6507-2

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  • DOI: https://doi.org/10.1007/s11042-018-6507-2

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