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Polar Snakes: a fast and robust parametric active contour model

Christophe Collewet 1 
1 Lagadic - Visual servoing in robotics, computer vision, and augmented reality
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : We present in this paper a way to perform a fast and robust image segmentation and to track a contour along a sequence of images. Our approach is based on a dynamic deformable model. More precisely, we revisit the classical physics based-model to show the benefit of using a polar description to model the contour, in particular to cope with the well-known initialization problem. Indeed, we show that this way to proceed leads to diagonal and constant matrices in the equations of the snake evolution yielding therefore to a faster algorithm. Experimental results on image segmentation and contour tracking validate the efficiency of this new formulation.
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Submitted on : Thursday, October 6, 2011 - 3:54:41 PM
Last modification on : Wednesday, February 2, 2022 - 3:56:08 PM
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  • HAL Id : inria-00629794, version 1


Christophe Collewet. Polar Snakes: a fast and robust parametric active contour model. IEEE Int. Conf. on Image Processing, Nov 2009, Le Caire, Egypt. pp.3013-3016. ⟨inria-00629794⟩



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