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Theses

Contours actifs paramétriques pour la segmentation
d'images et vidéos

Abstract : Active contour modeling represents the main framework of this thesis. Active contours are dynamicmethods applied to segmentation of still images and video. The goal is to extract image regionscorresponding to semantic objects. Image and Video segmentation can be cast in a minimizationframework by choosing a criterion which includes region and boundary functionals. This minimizationis achieved through the propagation of a region-based active contour. The efficiency of thesemethods lies in their robustness and their accuracy. The aim of this thesis is triple : to develop (i) amodel of parametric curve providing a smooth active contour, to precise (ii) conditions of stable evolutionfor such curves, and to reduce (iii) the computation cost of our algorithm in order to providean efficient solution for real time applications.We mainly consider constraints on contour regularity providing a better robustness regarding tonoisy data. In the framework of active contour, we focus on stability of the propagation force, onhandling topology changes and convergence conditions. We chose cubic spline curves. Such curvesprovide great properties of regularity, allow an exact computation for analytic expressions involvedin the functional and reduce highly the computation cost. Furthermore, we extended the well-knownmodel based on interpolating splines to an approximatingmodel based smoothing splines. This latterconverts the interpolation error into increased smoothness?smaller energy of the second derivative.The flexibility of this new model provide a tunable balance between accuracy and robustness.The efficiency of implementating such parametric active contour spline-based models has beenillustrated for several applications of segmentation process.
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https://tel.archives-ouvertes.fr/tel-00327411
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Submitted on : Wednesday, October 8, 2008 - 2:22:13 PM
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Frédéric Precioso. Contours actifs paramétriques pour la segmentation
d'images et vidéos. Interface homme-machine [cs.HC]. Université Nice Sophia Antipolis, 2004. Français. ⟨tel-00327411⟩

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