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Dahyot, Rozenn (2009) Bayesian Classification for the Statistical Hough Transform. 2008 19th International Conference on Pattern Recognition. pp. 1-4. ISSN 1051-4651
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Abstract
We have introduced the statistical Hough transform that extends the standard Hough transform by using a kernel mixture as a robust alternative to the 2 dimensional accumulator histogram. This work develops further this framework by proposing a Bayesian classification scheme to associate the spatial coordinates (x, y) to one particular class defined in the Hough space (¿, ¿). In a first step, we segment the Hough space into meaningful classes. Then using the inverse Radon transform, we backproject the different classes into the image space. We illustrate our approach on a synthetic image and on real images.
| Item Type: | Article |
|---|---|
| Keywords: | Bayesian; classification; Statistical; Hough; transform; |
| Academic Unit: | Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
| Item ID: | 15286 |
| Identification Number: | 10.1109/ICPR.2008.4761109 |
| Depositing User: | Rozenn Dahyot |
| Date Deposited: | 19 Jan 2022 12:57 |
| Journal or Publication Title: | 2008 19th International Conference on Pattern Recognition |
| Publisher: | IEEE |
| Refereed: | Yes |
| Related URLs: | |
| URI: | https://mu.eprints-hosting.org/id/eprint/15286 |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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