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Picture Recognition

  • Chapter
Digital Pattern Recognition

Part of the book series: Communication and Cybernetics ((COMMUNICATION,volume 10))

Abstract

This chapter reviews methods of measuring properties of pictures, and extracting objects from pictures, for purposes of picture recognition and description. Subjects covered include

  1. 1)

    Properties of regions in pictures—in particular, textural properties.

  2. 2)

    Detection of objects in pictures—template matching, edge detection.

  3. 3)

    Properties of detected objects—projections, cross-sections, moments.

  4. 4)

    Object extraction—thresholding, region growing, tracking.

  5. 5)

    Properties of extracted objects—connectedness and counting, area and perimeter, compactness, convexity, elongatedness.

  6. 6)

    Object and picture representation—boundaries, skeletons, relational structures.

The support of the Information Systems Branch, Office of Naval Research, under Contract N00014–67A-0239–0012, is gratefully acknowledged, as is the help of Shelly Rowe in preparing this paper.

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Authors
  1. A. Rosenfeld
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  2. J. S. Weszka
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Editor information

Editors and Affiliations

  1. School of Electrical Engineering, Purdue University, West Lafayette, IN, 47907, USA

    King Sun Fu PhD

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© 1976 Springer-Verlag Berlin Heidelberg

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Rosenfeld, A., Weszka, J.S. (1976). Picture Recognition. In: Fu, K.S. (eds) Digital Pattern Recognition. Communication and Cybernetics, vol 10. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-96303-2_5

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  • DOI: https://doi.org/10.1007/978-3-642-96303-2_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-96305-6

  • Online ISBN: 978-3-642-96303-2

  • eBook Packages: Springer Book Archive

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