Image registration is widely used in remote sensing image processing, medical image analysis and many other fields. Mutual information-based image registration technique gained much attention recently. However, during the optimization procedure, because of the influence of interpolation and the changes of overlapping areas in the images, the object function of the mutual information method may converge at local maximums so that wrong transformation parameters are generated as a result. In this paper, an improved simulated annealing–simplex method is proposed to solve this problem. Experiment results show that registration precision can reach to the sub-pixel level.
An Algorithm for Object Function Optimization in Mutual Information-Based Image Registration
2008 Congress on Image and Signal Processing ; 4 ; 426-430
2008-05-01
302751 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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