Stochastic modelling and analysis of sub-pixel edge detection

Author

Åström, Kalle ; Heyden, Anders

Author_Institution

Dept. of Math., Lund Univ., Sweden

Volume

2

fYear

1996

fDate

25-29 Aug 1996

Firstpage

86

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

Keywords

computer vision; edge detection; interpolation; modelling; smoothing methods; statistical analysis; stochastic processes; computer vision; discretisation process; image formation; interpolation; modeling; smoothing operator; statistical analysis; stochastic modelling; subpixel edge detection; Additive noise; Algorithm design and analysis; Detectors; Image analysis; Image edge detection; Interpolation; Mathematical model; Sampling methods; Signal restoration; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1996., Proceedings of the 13th International Conference on

Conference_Location

Vienna

ISSN

1051-4651

Print_ISBN

0-8186-7282-X

Type

conf

DOI

10.1109/ICPR.1996.546729

Filename

546729