Airplane tire inspection by image processing techniques

Conference object English OPEN
Jovančević , Igor; Arafat , Al; Orteu , Jean-José; Sentenac , Thierry;
  • Publisher: HAL CCSD
  • Related identifiers: doi: 10.1109/MECO.2016.7525733
  • Subject: image processing | [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing | template matching | PTZ camera | intensity profiling | [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing | inspection

International audience; In this paper, we propose a new approach to detect and inspect airplane tires. We use normalized correlation based template matching to detect tires and GrabCut segmentation method to extract them from the background. We inspect the tires conditi... View more
  • References (5)

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    [2] Y. Xiang, C. Zhang, and Q. Guo, “A Dictionary-based Method for Tire Defect Detection”, Proc. IEEE Intl. Conf. on Information and Automation, Hailar, China, pp. 519 - 523, Jul. 2014.

    [3] P. Chen, G. D. Shubinsky, K-H. Jan, C-A. Chen, O. Sidla, W. Poelzleitner, “Inspection of tire tread defects using image processing and pattern recognition techniques.” Proc. SPIE 2063, Vision, Sensors, and Control for Automated Manufacturing Systems, Nov. 1993.

    [4] C. Rother, V. Kolmogorov, A. Blake, “GrabCut: interactive foreground extraction using iterated graph cuts”, ACM Transactions on Graphics, Proc. ACM SIGGRAPH, vol. 23(3), pp. 309-314, Aug., 2004.

    [5] E. Erdem, A. Erdem, “Visual saliency estimation by nonlinearly integrating features using region covariances.,” Journal of Vision, vol.13(4), pp. 11-11, Jan. 2013.

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