Paper
17 December 1993 Computer vision methods for the three-dimensional measurement of manufactured parts
John T. Atkinson, Clifford Allan Hobson, Shirish P. Kshirsagar, Francis Lilley, Jeremy David Pearson
Author Affiliations +
Proceedings Volume 1989, Computer Vision for Industry; (1993) https://doi.org/10.1117/12.164876
Event: Electronic Imaging Device Engineering, 1993, Munich, Germany
Abstract
This paper describes a non-contact system for surface shape measurement of manufactured parts. The technique consists of a coherent optical system combined with powerful parallel processing hardware, thus allowing rapid inspection rates to be realized. A `structured lighting' system is employed involving the projection of a multi-stripe fringe pattern onto the object surface thus enabling 3D data to be obtained. Phase measuring techniques are applied in order to increase accuracy and resolution. A comparison is made between two different phase measuring methodologies. These techniques require computationally intensive algorithms and processing of large amounts of image data. Image processing hardware should be fast enough to achieve results within a reasonable time scale. A parallel image processing system has been designed for such applications based on the Texas Instruments digital signal processor type TMS320C40. The system is based on MIMD message passing architecture and uses an EISA bus for the host interface. The issues of speed of data acquisition and processing, reliability and robustness of the technique and accuracy are discussed.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John T. Atkinson, Clifford Allan Hobson, Shirish P. Kshirsagar, Francis Lilley, and Jeremy David Pearson "Computer vision methods for the three-dimensional measurement of manufactured parts", Proc. SPIE 1989, Computer Vision for Industry, (17 December 1993); https://doi.org/10.1117/12.164876
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Signal processing

Image processing

Digital signal processing

Fringe analysis

Digital image processing

Computer vision technology

Machine vision

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