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Automatic image registration by stochastic optimization of mutual information

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2 Author(s)
Cole-Rhodes, A. ; Electr. & Comput. Eng. Dept., Morgan State Univ., Baltimore, MD, USA ; Adenle, A.

Image registration is the process by which we determine a transformation that provides the most accurate match between two images. The search for the matching transformation can be automated with a suitable choice of metric, but can be very time-consuming and tedious. We consider a registration algorithm that combines a simple yet powerful search strategy based on optimization of mutual information using a stochastic gradient, together with a wavelet-based multi-resolution pyramid. It is tested using a pair of fundus eye images, which is matched using a six-parameter affine transformation. This extends previous work based on the three-parameter transformation (Cole-Rhodes, A. et al., SPIE Aerosense 2002, Wavelet Applications IX, 2002). The registration algorithm is implemented in a multiresolution manner using a wavelet pyramid.

Published in:

Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on  (Volume:3 )

Date of Conference:

6-10 April 2003