17 June 2009 Predictive segmentation method for 3D inspection accuracy and robustness improvement
Author Affiliations +
Abstract
Accuracy and robustness of 3D inspection methods, which are based on structural lightening, strongly depend on surface reflectance and its geometry. If the intensity of light profile undergoes disturbances or the image is interfered with reflection artefacts, then the algorithms for height determination fail. The paper presents a method for predictive light profile line segmentation which employs information from 3D model of inspected object. Besides calculation of profile position, based on confidence intervals, the advantage of surface normal pitch and surface scattering are utilized. The necessary information is calculated based on STL object model and surface description extension. The developed algorithm includes error model of camera and laser optics, what corrects distortion and vignetting. The developed solution increases accuracy and robustness of machine vision quality inspection systems especially based on laser triangulation.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. Reiner, J. Reiner, M. Stankiewicz, M. Stankiewicz, M. Wójcik, M. Wójcik, } "Predictive segmentation method for 3D inspection accuracy and robustness improvement", Proc. SPIE 7389, Optical Measurement Systems for Industrial Inspection VI, 73890A (17 June 2009); doi: 10.1117/12.827482; https://doi.org/10.1117/12.827482
PROCEEDINGS
8 PAGES


SHARE
RELATED CONTENT

Perspective photometric stereo beyond Lambert
Proceedings of SPIE (April 30 2015)
Passive sky angle mapping for unmanned ground vehicles
Proceedings of SPIE (May 24 2012)
Digital restoration of distorted geometric features of pigs
Proceedings of SPIE (February 01 1991)
Advanced navigation tools for virtual bronchoscopy
Proceedings of SPIE (May 28 2004)
Depth-based image registration
Proceedings of SPIE (April 18 2010)

Back to Top