ICIP 2006, Atlanta, GA
 

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Paper:MP-P8.2
Session:Motion Detection and Estimation
Time:Monday, October 9, 14:20 - 17:00
Presentation: Poster
Topic: Motion Detection and Estimation: Parametric models for motion estimation
Title: MOTION ESTIMATION IN X-RAY IMAGE SEQUENCES WITH BI-DISTRIBUTED TRANSPARENCY
Authors: Vincent Auvray; IRISA/INRIA / GE Healthcare 
 Patrick Bouthemy; IRISA/INRIA 
 Jean Lienard; GE Healthcare 
Abstract: This paper is concerned with motion estimation in transparent X-Ray image sequences. Most of these medical images can be divided into areas containing at most two moving transparent layers. We will call it bi-distributed transparency. The first contribution of this paper is a motion estimation framework for the two-layer transparency case, able to handle noisy and low-contrasted X-Ray image sequences. It involves three steps: block-matching, affine fit and gradient-based parametric estimation. This estimation scheme is then extended to the bi-distributed transparency case. The second step is now formulated as a joint motion segmentation-estimation problem solved by the iterative minimization of a MRF-based energy function. This framework has been applied to synthetic and real image sequences with quite satisfactory results.