Paper
24 February 2005 Stereovision-based close-up dimensional inspection
J. Phillip Mitchell, Allan D. Spence, David W. Capson, Harley Chan, Marc Goldstein
Author Affiliations +
Proceedings Volume 5679, Machine Vision Applications in Industrial Inspection XIII; (2005) https://doi.org/10.1117/12.585918
Event: Electronic Imaging 2005, 2005, San Jose, California, United States
Abstract
Sheet metal strain analysis is an important tool to ensure products are manufactured within necessary tolerances. A common technique involves electrochemically etching a dark grid pattern of known size onto the flat sheet metal surface and then deforming the sheet. The change in the grid pattern after deformation can be used to calculate surface strain. The computer vision problem is to accurately detect the intersections of the grid pattern. To investigate this problem, a stereo camera system was designed and attached to a bridge style coordinate measurement machine. The stereo head consists of two high resolution monochrome CCD cameras mounted on a Renishaw PH10 motorized probe head that can be articulated into numerous, repeatable, preset positions. Stereo head calibration was achieved using Zhang’s technique with a planar target. Each probe position was calibrated using a global point set registration method to link coordinate systems. A novel approach to segmenting the grid pattern into squares involving region merging and watersheds is described. Grid intersections are determined to sub pixel accuracy and matched between images using a correlation based scheme. The accuracy of the system and experimental results are provided.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. Phillip Mitchell, Allan D. Spence, David W. Capson, Harley Chan, and Marc Goldstein "Stereovision-based close-up dimensional inspection", Proc. SPIE 5679, Machine Vision Applications in Industrial Inspection XIII, (24 February 2005); https://doi.org/10.1117/12.585918
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Inspection

Head

Lithium

Calibration

Machine vision

Metals

Electronic imaging

Back to Top