Error correction models for measurement and inspection in computer vision system

C. Alec Chang, Liang-Hsuan Chen, Larry G. David, Chao ton Su

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Computer Vision Systems retains implicit measurement errors related to geometric size, position and orientation of parts in an automated inspection station. Response surface methods can be excellent tools to build empirical models to calibrate these errors. A proposed procedure and laboratory experiments for error correction are discussed in this paper.

Original languageEnglish
Title of host publicationProceedings of the Industrial Engineering Research Conference
EditorsDeborah A. Mitta, Laura I. Burke, John R. English, Jennie Gallimore, Georgia-Ann Klutke, Gregory L. Tonkay
PublisherPubl by IIE
Pages629-633
Number of pages5
ISBN (Print)0898061326
Publication statusPublished - 1993 Dec 1
EventProceedings of the 2nd Industrial Engineering Research Conference - Los Angeles, CA, USA
Duration: 1993 May 261993 May 28

Publication series

NameProceedings of the Industrial Engineering Research Conference

Other

OtherProceedings of the 2nd Industrial Engineering Research Conference
CityLos Angeles, CA, USA
Period93-05-2693-05-28

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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  • Cite this

    Chang, C. A., Chen, L-H., David, L. G., & Su, C. T. (1993). Error correction models for measurement and inspection in computer vision system. In D. A. Mitta, L. I. Burke, J. R. English, J. Gallimore, G-A. Klutke, & G. L. Tonkay (Eds.), Proceedings of the Industrial Engineering Research Conference (pp. 629-633). (Proceedings of the Industrial Engineering Research Conference). Publ by IIE.