Robust multi-scale multi-modal image registration

Michal Holtzman-Gazit; Irad Yavneh

doi:10.1117/12.848681

27 April 2010 Robust multi-scale multi-modal image registration

Michal Holtzman-Gazit, Irad Yavneh

Proceedings Volume 7697, Signal Processing, Sensor Fusion, and Target Recognition XIX; 769713 (2010) https://doi.org/10.1117/12.848681
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

Multi modal image registration is an especially difficult problem when one of the images contains only a small region of the other image. In this case there is generally a need to search for the alignment parameters over the entire image. If an associated local optimization scheme is initialized far from the global solution, it usually converges to a local optimum. This paper presents a multi-scale approach that greatly enlarges the basin of attraction of the global optimum, and demonstrates how to find the correct solution to the optimization problem efficiently and reliably, by solving a small number of local optimization problems and tracking a small number of likely candidates.

Citation Download Citation

Michal Holtzman-Gazit and Irad Yavneh "Robust multi-scale multi-modal image registration", Proc. SPIE 7697, Signal Processing, Sensor Fusion, and Target Recognition XIX, 769713 (27 April 2010); https://doi.org/10.1117/12.848681

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