Abstract
Tyre quality inspection is very important for tyre industry. In the present paper, an algorithm is proposed to detect cracks in tread area by using the idea of Hough transform and analyzing singular area obtained by multi-scale decomposition of wavelet transform. Firstly, tyre X-ray images are obtained by using X-ray beam. Secondly, a series of curves are obtained by projecting X-ray image of tyre to different angles. Thirdly, those projection curves are decomposed into multi-scale curves by wavelet transform, and the orientation and location of cracks are determined by analyzing the singularity of those multi-scale curves and the texture regularity of normal tread area images. The experimental results show that most of cracks in tread area can be detected effectively.
Supported by National Natural Science Foundation of China (61203341), University Scientific Projects of Shandong Province (J12LN19, J14LN15).
L. Jinping−a professor of School of Information Science and Engineering (ISE) of University of Jinan, his present research interests include artificial intelligence, image processing, pattern recognition, optimization algorithms, et al.
H. Wendi−a postgraduate of University of Jinan, her present research interest is pattern recognition, image processing.
H. Yanbin−an associate professor of ISE of University of Jinan, his present research covers image processing, optimization.
Y. Jianqin−an associate professor of ISE of University of Jinan, her present research covers image processing, machine vision, et al.
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Jinping, L., Wendi, H., Yanbin, H., Jianqin, Y. (2015). Crack Detection in Tread Area Based on Analysis of Multi-scale Singular Area. In: Zha, H., Chen, X., Wang, L., Miao, Q. (eds) Computer Vision. CCCV 2015. Communications in Computer and Information Science, vol 547. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48570-5_20
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DOI: https://doi.org/10.1007/978-3-662-48570-5_20
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