Artificial sight

  • Mark H. Lee
Part of the Open University Press Robotics Series book series (OUPRS)


Sensors which are organized as imaging systems are so significantly different from other types of sensor that they merit special attention. This chapter describes some of the main features and techniques found in industrial imaging sensors. Vision will be used as an example throughout but the ideas apply equally to any form of imaging sensor, be it tactile, thermal, ultrasonic or even arrays of switches. The distinguishing feature is that many identical sensing elements are arranged in a uniform (usually rectangular) array.


Local Operator Feature Detector Output Image Invariant Moment Inspection Task 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Further reading material

  1. For a good text on a range of vision topics, see Computer Visionby D. H. Ballard and C. M. Brown, ( Prentice-Hall, 1982 ).Google Scholar
  2. There are several textbooks on basic image-processing algorithms and operations, e.g. Digital Picture Processing, by A. Rosenfeld and A. C. Kak, (Academic Press, 1982), and Digital Image Processing, by R. C. Gonzalez and P. Wintz, ( Addison-Wesley, 1979 ).Google Scholar
  3. Details of current industrial vision systems are best found in the latest manufacturers’ catalogues.Google Scholar
  4. For examples of vision technology used in industrial application see Automated Visual Inspection, edited by B. G. Batchelor, D. A. Hill and D. C. Hodgson, (North-Holland, 1986). A bibliography of automated inspection techniques is given by R. T. Chin in the journal Pattern Recognition (1982), volume 15, number 4, pp. 343–357.Google Scholar
  5. For some details of the massively parallel architectures that are being developed see Parallel Computer Vision, edited by L. Uhr, (Academic Press, 1987).Google Scholar

Copyright information

© Mark H. Lee 1989

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  • Mark H. Lee

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