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Artificial sight

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Intelligent robotics

Part of the book series: Open University Press Robotics Series ((OUPRS))

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Abstract

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.

He that has one eye is a prince among those that have none

Thomas Fuller

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Further reading material

  • For a good text on a range of vision topics, see Computer Visionby D. H. Ballard and C. M. Brown, ( Prentice-Hall, 1982 ).

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  • 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 ).

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  • Details of current industrial vision systems are best found in the latest manufacturers’ catalogues.

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  • 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.

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  • For some details of the massively parallel architectures that are being developed see Parallel Computer Vision, edited by L. Uhr, (Academic Press, 1987).

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© 1989 Mark H. Lee

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Lee, M.H. (1989). Artificial sight. In: Intelligent robotics. Open University Press Robotics Series. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-6237-1_3

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  • DOI: https://doi.org/10.1007/978-1-4684-6237-1_3

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4684-6239-5

  • Online ISBN: 978-1-4684-6237-1

  • eBook Packages: Springer Book Archive

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