| Title | Stochastic Modelling and Analysis of Sub-pixel Edge Detection |
| Authors | Karl Åström, Anders Heyden |
| Alternative Location | http://ieeexplore.ieee.org/..., Restricted Access |
| Alternative Location | http://dx.doi.org/10.1109/I..., Restricted Access |
| Publication | International Conference on Pattern Recognition |
| Year | 1996 |
| Volume | 2 |
| Pages | 86 - 90 |
| Document type | Conference paper |
| Conference name | Proceedings of 13th International Conference on Pattern Recognition |
| Conference Date | 1996-08-25 - 1996-08-29 |
| Conference Location | Vienna, Austria |
| Status | Published |
| Language | eng |
| Publisher | IEEE Comput. Soc. Press |
| Abstract English | 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, |
| ISBN/ISSN/Other | ISBN: 0 8186 7282 X |
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