Inspection of Car Body Gaps Based on Stereo Vision

An Cui; Wen Qiang Xu; Xiao Bo Chen; Chun Ning Jin

doi:10.4028/www.scientific.net/AMM.543-547.1175

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547Inspection of Car Body Gaps Based on Stereo Vision

Inspection of Car Body Gaps Based on Stereo Vision

Abstract:

The car body gaps affect the vehicle sealing, in turn affect the performance of windproof and rainproof. Traditional inspection method cannot meet the requirement of on-line detection. The non-contact detection method is proposed for the car body gaps inspection in this paper. The gap area is taken by two cameras, and the information is obtained by image processing. The key is contour extraction, and the Snake method based on non-initialized level set is used in this article. The finally contour extraction result is exported by updating the profile curve. The experimental results show that the gaps inspection method based on stereo vision can meet the requirements of high-precision and not-contact detection, and the absolute errors of width and flush are 0.0605mm, 0.0712mm respectively. Furthermore, it can meet the requirements of on-line inspection.

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Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

1175-1178

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.1175

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Online since:

March 2014

Authors:

An Cui*, Wen Qiang Xu, Xiao Bo Chen, Chun Ning Jin

Keywords:

Non-Contact Detection, On-Line Inspection, Snake, Stereo Vision

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* - Corresponding Author

References

[1] Dimitrios Kosmopoulos, Automated inspection of gaps on the automobile production line through stereo vision and specular reflection [J]. Computer in industry, 49-63 (2001).

DOI: 10.1016/s0166-3615(01)00113-0

Google Scholar

[2] A. Fusiello,E. Trucco and A. Verri. A compact Algorithm for Rectificetion of Stereo. Machine Vision and Applications, 16-22(2000).

DOI: 10.1007/s001380050120

Google Scholar

[3] Faugeras OD. Stratificaction of three dimensional vision: projective, affine and metric representation [J].J. Opt. Soc.A. 465-484(1995).

Google Scholar

[4] Shimin Luo, Maoxi Li. Binocular vision measurement method of three-dimensional coordinates of the strike [J]. Computer Engineering and Design, 3622-3624(2006).

Google Scholar

[5] Shiwei Lin. Based on active contour models and level set method for image segmentation [D]. XIAN: Xi'an University of Electronic Science and Technology Circuits and Systems (2010).

Google Scholar

[6] Hua Duan. Binocular stereo vision based on three-dimensional computer reconstruction [D]. Nanjing university of aeronautics and astronautics (2003).

Google Scholar