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:	https://doi.org/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
URI:	Publisher
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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