Dahyot, Rozenn
(2009)
Bayesian Classification for the Statistical Hough Transform.
2008 19th International Conference on Pattern Recognition.
pp. 1-4.
ISSN 1051-4651
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.
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