Stochastic Modelling and Analysis of Sub-pixel Edge Detection

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Abstract

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
Original languageEnglish
Title of host publicationInternational Conference on Pattern Recognition
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages86-90
Volume2
ISBN (Print)0 8186 7282 X
DOIs
Publication statusPublished - 1996
Event13th International Conference on Pattern Recognition, (ICPR 1996) - Vienna, Austria
Duration: 1996 Aug 251996 Aug 29

Publication series

Name
Volume2

Conference

Conference13th International Conference on Pattern Recognition, (ICPR 1996)
Country/TerritoryAustria
CityVienna
Period1996/08/251996/08/29

Subject classification (UKÄ)

  • Mathematics

Keywords

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

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