The Gray Scale Matching Algorithm Based on a New Hybrid PSO

摘要：

　　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.

关键词： PSO DE gray scale matching

作者: Hongluan Zhao Zunyi Xu Guoyong Han Yi Liu

作者单位: Department of Computer Science and Technology,Shandong Jianzhu University,Jinan, China

会议类型: 国际会议

会议名称: 2012 IEEE 14th International Conference on Communication Technology(2012年第十四届通信技术国际会议(ICCT 2012))

会议地点: 成都

会议语种:英文

页码: 1091-1095

在线出版日期: 2012-11-09（万方平台首次上网日期，不代表论文的发表时间）