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Proceedings Paper

Analysis of light strip images on cutting tools to extract 3D wear information
Author(s): Yong H. Lee; Donald R. Sutherland; Jeffrey G. Schneider
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Paper Abstract

A 3-D tool wear analysis method has been developed to measure erosive wear parameters such as area and volume automatically and objectively. Parallel light stripes are projected onto a wear area at a known angle. Knowledge about the light pattern is utilized in processing the digitized image data to compute local depth. The new method was successfully applied to sub- optimal images where magnification is necessary, such as cutting tool wear. Since this is a general image processing problem with a structured light source, this method can be easily adapted to other applications.

Paper Details

Date Published: 21 September 1994
PDF: 12 pages
Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); doi: 10.1117/12.186565
Show Author Affiliations
Yong H. Lee, General Motors Research Labs. (United States)
Donald R. Sutherland, General Motors Research Labs. (United States)
Jeffrey G. Schneider, General Motors Research Labs. (United States)

Published in SPIE Proceedings Vol. 2298:
Applications of Digital Image Processing XVII
Andrew G. Tescher, Editor(s)

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