Machine Vision: A Multi-Disciplinary Systems Engineering Problem

Donald G. Bailey

doi:10.1117/12.947059

18 July 1988 Machine Vision: A Multi-Disciplinary Systems Engineering Problem

Donald G. Bailey

Proceedings Volume 0939, Hybrid Image and Signal Processing; (1988) https://doi.org/10.1117/12.947059
Event: 1988 Technical Symposium on Optics, Electro-Optics, and Sensors, 1988, Orlando, FL, United States

Abstract

The successful application of image processing to industrial inspection and measurement requires the combining of a number of techniques from different disciplines including optics, electronics, computer hardware and software design, and mechanical engineering. The main subsystems of a typical machine vision system are the image capture subsystem, incorporating sensors and image digitization, the image processing subsystem, where the required information is extracted from the image, and the control subsystem, which uses the information obtained to control a task or activity. In recent years, the commercial availability of general purpose modules such as cameras, frame grabbers, robots, and their controllers has simplified system design considerably. The advent of very large scale integrated circuit technology is broadening the range of applications of machine vision by enabling fast hardware to be designed.

Citation Download Citation

Donald G. Bailey "Machine Vision: A Multi-Disciplinary Systems Engineering Problem", Proc. SPIE 0939, Hybrid Image and Signal Processing, (18 July 1988); https://doi.org/10.1117/12.947059

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