Efficient image reduction for image registration with evolutionary algorithm

摘要

The run time of the evolutionary algorithm for image registration depends on the time required for the evaluation of the fitness value of a parameter vector during one iteration. This time can be reduced if some preprocessing is employed prior to image registration resulting in image reduction. Two algorithms are compared that can be potentially used for preprocessing, fractal encoding and a simple segmentation technique. Numerical experiments show that both algorithms perform well and can be successfully applied to image reduction.