Analysis of light strip images on cutting tools to extract 3D wear information

Yong H. Lee; Donald R. Sutherland; Jeffrey G. Schneider

doi:10.1117/12.186565

21 September 1994 Analysis of light strip images on cutting tools to extract 3D wear information

Yong H. Lee, Donald R. Sutherland, Jeffrey G. Schneider

Proceedings Volume 2298, Applications of Digital Image Processing XVII; (1994) https://doi.org/10.1117/12.186565
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

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.

Citation Download Citation

Yong H. Lee, Donald R. Sutherland, and Jeffrey G. Schneider "Analysis of light strip images on cutting tools to extract 3D wear information", Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); https://doi.org/10.1117/12.186565

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