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Fusion Method of Depth Images and Visual Images for Tire Inspection

  • Chien-Chou LinEmail author
  • Chun-Cheng Chang
  • Ching-Lung Chang
  • Chuan-Yu Chang
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1036)

Abstract

In this paper, an alignment approach is proposed for a depth image and a visual image of a tire captured by a laser displacement sensor and a color camera respectively. While the global match usually misaligns the regular textures on a tire, the local match scheme proposed in this paper can exactly locate the logo textures on a tire. The result of the proposed method can be used for defect detection by 2D and 3D texture features. With 2D and 3D texture feature matching, the defect detection will be more accurate.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Chien-Chou Lin
    • 1
    Email author
  • Chun-Cheng Chang
    • 1
  • Ching-Lung Chang
    • 1
  • Chuan-Yu Chang
    • 1
  1. 1.National Yunlin University of Science and TechnologyDouliouTaiwan (R.O.C.)

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