Paper
12 March 1988 Image Quality Evaluation Of Machine Vision Sensors
Donald J. Svetkoff
Author Affiliations +
Proceedings Volume 0850, Optics, Illumination, and Image Sensing for Machine Vision II; (1988) https://doi.org/10.1117/12.942860
Event: Advances in Intelligent Robotics Systems, 1987, Cambridge, CA, United States
Abstract
Imaging sensors for machine vision systems include area sensors found in tube and solid state video cameras, linear arrays, and point detectors used in flying spot scanners. With any such sensor image quality is determined by several factors: spatial resolution, dynamic range, spectral sensitivity, etc. In addition, imager defects like structured pattern noise, smear, variations in sensitivity, or poor spatial sampling preclude detection of small changes in reflectivity or depth and limit the performance of pattern recognition algorithms. This paper evaluates several types of imaging sensors and critically reviews their performance for demanding machine vision inspection tasks which require discrimination of several colors, shades of grey, or levels of depth.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Donald J. Svetkoff "Image Quality Evaluation Of Machine Vision Sensors", Proc. SPIE 0850, Optics, Illumination, and Image Sensing for Machine Vision II, (12 March 1988); https://doi.org/10.1117/12.942860
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Cited by 2 scholarly publications.
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KEYWORDS
Machine vision

Imaging systems

Sensors

Cameras

Solid state electronics

Inspection

Scanners

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