Paper
18 May 1987 Shape, Form, And Texture Recognition For Automotive Brake Pad Inspection
Juha Roning, E. L. Hall
Author Affiliations +
Proceedings Volume 0730, Automated Inspection and Measurement; (1987) https://doi.org/10.1117/12.937861
Event: Cambridge Symposium_Intelligent Robotics Systems, 1986, Cambridge, MA, United States
Abstract
Automated inspection is an important new technology which promises to significantly improve productivity in a variety of applications. Not only is 100% inspection becoming a possibility but also in-place rather than post-process inspection is now being used. The purpose of this paper is to present techniques for shape, form, and texture recognition for the inspection of automotive brake pads. Although the results are preliminary, they indicate the type techniques which could be applied to the inspection of millions of brake pads per year in the U.S. alone. Also, since brake pads contain asbestos, humans could be removed from a harmful environment.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Juha Roning and E. L. Hall "Shape, Form, And Texture Recognition For Automotive Brake Pad Inspection", Proc. SPIE 0730, Automated Inspection and Measurement, (18 May 1987); https://doi.org/10.1117/12.937861
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Inspection

Image segmentation

Edge detection

Machine vision

Image enhancement

3D metrology

Binary data

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