Title :
Stochastic modelling and analysis of sub-pixel edge detection
Author :
Åström, Kalle ; Heyden, Anders
Author_Institution :
Dept. of Math., Lund Univ., Sweden
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;
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-8186-7282-X
DOI :
10.1109/ICPR.1996.546729
