13 June 2019 Vision system for surface roughness and surface defect measurement
Ruipeng Guo, Dongliang Bian
Author Affiliations +
Abstract
A vision system for surface roughness and surface defect measurement is introduced. This system applies two cameras for capturing the laser pattern and scattering images simultaneously. Three features are extracted from the scattering images to characterize the surface roughness. The light pattern images are processed to locate the defect and compute the size of the defect. Some experiments have been performed, and the experimental results verify the feasibility of the method.
© 2019 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2019/$25.00 © 2019 SPIE
Ruipeng Guo and Dongliang Bian "Vision system for surface roughness and surface defect measurement," Optical Engineering 58(6), 064103 (13 June 2019). https://doi.org/10.1117/1.OE.58.6.064103
Received: 20 January 2019; Accepted: 20 May 2019; Published: 13 June 2019
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Surface roughness

Light scattering

Laser scattering

Cameras

Image processing

Scattering

Imaging systems

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