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Stochastic Modelling and Analysis of Sub-pixel Edge Detection

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Author

Summary, in English

Stochastic analysis of edge detectors can be made either by theoretical modeling of the image formation process and the edge detectors or by empirical stochastic analysis of the edge locations. In this paper we study and model the image formation process in detail. In particular the much neglected discretisation process is modelled and taken into account. This makes it possible to define and analyse sub-pixel edge detection. The theoretical results are verified through stochastic analysis of both simulated and real image data

Publishing year

1996

Language

English

Pages

86-90

Publication/Series

International Conference on Pattern Recognition

Volume

2

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Mathematics

Keywords

  • computer vision
  • edge detection
  • interpolation
  • modelling
  • smoothing methods
  • statistical analysis
  • stochastic processes

Conference name

13th International Conference on Pattern Recognition, (ICPR 1996)

Conference date

1996-08-25 - 1996-08-29

Conference place

Vienna, Austria

Status

Published

ISBN/ISSN/Other

  • ISBN: 0 8186 7282 X