The gray scale matching algorithm based on a new hybrid PSO
Hongluan Zhao, Zunyi Xu, Guoyong Han, Yi Liu · 2012
The quick matching is researched between the template image and reference image with rotating and angle zoom. A new hybrid algorithm of differential evolution (DE) and particle swarm optimization algorithm(PSO) is put forward in order to improve the local search ability and precocious phenomena of PSO. Using the information exchange mechanism, two groups of population evolve collaboratively with DE and PSO respectively. Further, here employs the current developments of the two heuristic algorithms. Then the fitness function of the relationship is discussed between the template matching algorithm and the new algorithm, combined with the matching model optimization search and superior performance of PSO. Simulations are done to illustrate the signilicant and effective impact of this new algorithm, showing its efficiency and accuracy.