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Une nouvelle approche variationnelle du traitement d'images. ,Application à la coopération détection-reconstruction

Abstract : In this thesis, we have developed a variational framework for low level image processing based on the Extreme Physical Information. We have used this method, recently developed, in order to provide an axiomatic fundament for scale-space or diusion. This method allows to be optimal in terms of compromise uncertainty - inaccuracy about the measured system. We derive, in the quatum framework, the Klein-Gordon and the Schrödinger equation with elds as new model of image. The application we have focused on, is stent detection and reconstruction, stent is a coronary prothesis. The method we have adopted, is 2D-3D shape oriented, actually, we have coupled two Schrödinger equations in order to reconstruct the shape of the stent. Our goal is to extract the maximum of information located in X rays images. In order to develop a eld to guide reconstruction, we develop a multi local shape index and two pragmatic algorithms to detect stent projection on X rays images
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Contributor : Vincent Courboulay <>
Submitted on : Wednesday, January 23, 2008 - 4:10:59 PM
Last modification on : Wednesday, October 14, 2020 - 3:55:20 AM
Long-term archiving on: : Thursday, April 15, 2010 - 1:41:35 PM


  • HAL Id : tel-00214217, version 1



Vincent Courboulay. Une nouvelle approche variationnelle du traitement d'images. ,Application à la coopération détection-reconstruction. Interface homme-machine [cs.HC]. Université de La Rochelle, 2002. Français. ⟨tel-00214217⟩



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