Stochastic Modelling and Analysis of Sub-pixel Edge Detection
(1996) 13th International Conference on Pattern Recognition, (ICPR 1996) 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:
https://lup.lub.lu.se/record/787636
- author
- Åström, Karl LU and Heyden, Anders LU
- organization
- publishing date
- 1996
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- computer vision, edge detection, interpolation, modelling, smoothing methods, statistical analysis, stochastic processes
- host publication
- 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)
- conference location
- Vienna, Austria
- conference dates
- 1996-08-25 - 1996-08-29
- 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
- 2016-04-04 10:40:17
- date last changed
- 2023-10-18 10:30:18
@inproceedings{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}}, booktitle = {{International Conference on Pattern Recognition}}, isbn = {{0 8186 7282 X}}, keywords = {{computer vision; edge detection; interpolation; modelling; smoothing methods; statistical analysis; stochastic processes}}, language = {{eng}}, pages = {{86--90}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Stochastic Modelling and Analysis of Sub-pixel Edge Detection}}, url = {{http://dx.doi.org/10.1109/ICPR.1996.546729}}, doi = {{10.1109/ICPR.1996.546729}}, volume = {{2}}, year = {{1996}}, }