Advanced

Stochastic Modelling and Analysis of Sub-pixel Edge Detection

Åström, Karl LU and Heyden, Anders LU (1996) 13th International Conference on Pattern Recognition, (ICPR 1996) In International Conference on Pattern Recognition 2. p.86-90
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
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
computer vision, edge detection, interpolation, modelling, smoothing methods, statistical analysis, stochastic processes
in
International Conference on Pattern Recognition
volume
2
pages
86 - 90
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
13th International Conference on Pattern Recognition, (ICPR 1996)
external identifiers
  • Scopus:0007121109
ISBN
0 8186 7282 X
DOI
10.1109/ICPR.1996.546729
language
English
LU publication?
yes
id
268242d8-dfd0-4e7a-9a9d-22dd84cb21d4 (old id 787636)
alternative location
http://ieeexplore.ieee.org/iel3/3995/11503/00546729.pdf?tp=&arnumber=546729&isnumber=11503
date added to LUP
2008-03-31 14:48:13
date last changed
2016-10-13 04:41:19
@misc{268242d8-dfd0-4e7a-9a9d-22dd84cb21d4,
  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},
  author       = {Åström, Karl and Heyden, Anders},
  isbn         = {0 8186 7282 X},
  keyword      = {computer vision,edge detection,interpolation,modelling,smoothing methods,statistical analysis,stochastic processes},
  language     = {eng},
  pages        = {86--90},
  publisher    = {ARRAY(0xa52be68)},
  series       = {International Conference on Pattern Recognition},
  title        = {Stochastic Modelling and Analysis of Sub-pixel Edge Detection},
  url          = {http://dx.doi.org/10.1109/ICPR.1996.546729},
  volume       = {2},
  year         = {1996},
}