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Proceedings Paper

A hybrid optimization model based on multi-metrics for registration using free-form
Author(s): Jiasi Song; Lixu Gu; Pengfei Huang; Wei Li
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Paper Abstract

We propose a new optimization model for non-rigid registration of images using multi-metrics. The ordinary searching step of optimization has been often trapped in local minima and produces wrong registration results. In this paper, if the condition occurs, multi-metrics model will switch to the other metrics to get rid of the local minima, vice versa, until optimization cannot proceed any more for any of the metrics. We have tested our approach in a variety of experimental conditions and compared the results with the optimization without multi-metrics. The results indicate that the new model is robust and fast in non-rigid registration.

Paper Details

Date Published: 14 November 2007
PDF: 8 pages
Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67890Y (14 November 2007); doi: 10.1117/12.749689
Show Author Affiliations
Jiasi Song, Shanghai Jiao Tong Univ. (China)
Lixu Gu, Shanghai Jiao Tong Univ. (China)
Pengfei Huang, Shanghai Jiao Tong Univ. (China)
Wei Li, Shanghai Jiao Tong Univ. (China)

Published in SPIE Proceedings Vol. 6789:
MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques
Jianguo Liu; Kunio Doi; Patrick S. P. Wang; Qiang Li, Editor(s)

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