3D detection technique of surface defects for heavy rail based on binocular stereo vision

Ke Xu; Peng Zhou; Chaofan Hu

doi:10.1117/12.979738

15 October 2012 3D detection technique of surface defects for heavy rail based on binocular stereo vision

Ke Xu, Peng Zhou, Chaofan Hu

Proceedings Volume 8417, 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment; 841707 (2012) https://doi.org/10.1117/12.979738
Event: 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT 2012), 2012, Xiamen, China

Abstract

The large number of scales on steel rails makes it impossible to apply traditional 2-D vision techniques to surface inspection of steel rails. A 3-D detection technique based on binocular stereo vision was developed to detect surface defects of steel rails. Laser stripes emitted by linear lasers were projected on the surface of steel rails, and images of laser lines were captured synchronously with two CCD cameras. Standard curves on heavy rails were obtained by adopting segment fitting method. Depth of the defects was calculated by matching points which were obtained respectively from the deepest defect point and its corresponding point on the standard curve. The examination showed that the error of the defect depth with the technique is 3.5%, and it is insensitive to vibration of steel rails during production. Thus the technique is applicable to on-line surface inspection of steel rails.

Citation Download Citation

Ke Xu, Peng Zhou, and Chaofan Hu "3D detection technique of surface defects for heavy rail based on binocular stereo vision", Proc. SPIE 8417, 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 841707 (15 October 2012); https://doi.org/10.1117/12.979738

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