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Structural characterisation of image processing operators

  • P. Bottoni
  • L. Cinque
  • S. Levialdi
  • P. Mussio
  • B. Nebbia
Poster Session B: Active Vision, Motion, Shape, Stereo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1310)

Abstract

We present a methodology to specify the action of image processing operators in terms of transformations induced on structures present in an image. The methodology is based on an analysis of the characteristics of the operator with respect to the adopted segmentation technique and is illustrated through an example of characterisation of the Gaussian filter.

Keywords

Gaussian Filter Image Description Black Pixel Multiple Element Residual Component 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • P. Bottoni
    • 1
  • L. Cinque
    • 1
  • S. Levialdi
    • 1
  • P. Mussio
    • 2
  • B. Nebbia
    • 1
  1. 1.DSI, Università di RomaRomaItaly
  2. 2.DEA, Università di BresciaBrescia

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