Tire X-ray Image Defects Detection Based on Adaptive Thresholding Method

Author:

Zhang Yuxiang,Gu Naijie,Zhang Xiaoci,Lin Chuanwen

Publisher

Springer Singapore

Reference15 articles.

1. Technical Research Centre of Finland (VTT) Intelligent tyre systems – state of the art and potential technologies; Deliverable D7 (2001)

2. Koornstra, M.K.: Transport safety performance in the EU [EB/OL]. European Transport Safety Council, Brussels, 20 November 2012

3. Zhang, Y., Lefebvre, D., Li, Q.: Automatic detection of defects in tire radiographic images. IEEE Trans. Autom. Sci. Eng. 14(3), 1378–1386 (2017)

4. Guo, Q., Zhang, C., Liu, H., et al.: Defect detection in tire X-ray images using weighted texture dissimilarity. J. Sens. 1, 1–12 (2016)

5. Yue, Z., Wenyao, L., Hua, Y., et al.: A defect extraction and segmentation method for radial tire X-ray image. J. Optoelectron. 21(05), 758–761 (2010)

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