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Multi-modal image registration using line features and mutual information

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3 Author(s)
Zouqi, M. ; Comput. Vision Lab., Univ. of Western Ontario, London, ON, Canada ; Samarabandu, J. ; Yanbo Zhou

Mutual information (MI), as a similarity measure has been very successful in multi-modal image registration. However, the iterative nature of the method for finding optimal transformation makes it time consuming and mis-registration can happen due to local extrema. In this paper, a heuristic approach based on straight line detection and matching is proposed for rigid registration to speed up mutual information-based method and avoid local extrema by converting the 3-D optimization problem into a 1-D search along the corresponding lines. The proposed method is suitable for images rich with line segments, such as those used in remote sensing applications.

Published in:

Image Processing (ICIP), 2010 17th IEEE International Conference on

Date of Conference:

26-29 Sept. 2010

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