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Technical Program
Paper Detail
| Paper: | MP-P8.2 |
| Session: | Motion Detection and Estimation |
| Time: | Monday, October 9, 14:20 - 17:00 |
| Presentation: |
Poster
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| 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. |
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