Paper
22 January 1987 Illumination Methods For Machine Vision
Gordon T. Uber
Author Affiliations +
Proceedings Volume 0728, Optics, Illumination, and Image Sensing for Machine Vision; (1987) https://doi.org/10.1117/12.937828
Event: Cambridge Symposium_Intelligent Robotics Systems, 1986, Cambridge, MA, United States
Abstract
A model of illumination permits classifying and analyzing illumination methods. Light sources are modeled as surfaces in space relative to an imaged object, which define source apertures. Sources may be repositioned for scanning and to overcome placement constraints. This aperture model describes collimated and diffuse illumination, brightfield and darkfield methods. With the addition of a field surface it models structured lighting. The models provide a basis for comparing methods. Literature on illumination for machine vision is reviewed, with emphasis on automatic visual inspection.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gordon T. Uber "Illumination Methods For Machine Vision", Proc. SPIE 0728, Optics, Illumination, and Image Sensing for Machine Vision, (22 January 1987); https://doi.org/10.1117/12.937828
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CITATIONS
Cited by 5 scholarly publications and 4 patents.
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KEYWORDS
Light sources and illumination

Machine vision

Inspection

Mirrors

Photography

Sensors

Solids

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