Paper
23 February 1987 Optimum Choice Of Light Source Characteristics And Electro-Optics For On-Line Vision Systems
Luis M. Dominguez, Ken W. White
Author Affiliations +
Abstract
The speed of a machine vision system can be dramatically improved by judicious choices of electro-optical components. This is of great importance in agriculture and the consumer products industry where inspections are complex and high volumes the norm. Recent advances in video camera technology allow imaging in discrete portions of the visible spectrum. When these devices are applied based on spectral knowledge of illumination, sample, as well as the transfer functions of filters and sensors, then "optical thresholding" can be effected. The lump transfer function of the system can be predicted since the individual transfer functions for each of the components is known. This can result in a concommitant reduction in the amount of computer processing necessary per image. The work presented here demonstrates the use of a spectroreflectometer in conjunction with spectral knowldege of each of the other components of the system to calculate optical lump responses. The goal is to optimize the optical gain to yield a maximum signal to noise ratio for the entire system. A spectroreflectometer is first used to define the optimum illumination characteristics and filter bandpass for a particular application. A knowledgeable choice of test samples is important. The system is then tested and the range of variation established using experimentally-defined optical components and a video camera with a programmable filter wheel. Spectral reflectance curves, optical transfer functions, and actual video images obtained using this approach with application to the food industry will be shown.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Luis M. Dominguez and Ken W. White "Optimum Choice Of Light Source Characteristics And Electro-Optics For On-Line Vision Systems", Proc. SPIE 0692, Materials and Optics for Solar Energy Conversion and Advanced Lightning Technology, (23 February 1987); https://doi.org/10.1117/12.936714
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KEYWORDS
Sensors

Cameras

Optical filters

Video

Diffuse reflectance spectroscopy

Inspection

Silicon

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