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《Journal of Data Acquisition and Processing》 2011-04
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Image Registration Based on Block Mutunal Information and Quantum-Behaved Particle Swarm Optimization

Chen Qingfang,Wu Xiaojun(School of Information Engineering,Jiangnan University,Wuxi,214122,China)  
Multimodality image registration is important in military application.It is the first step for image fusion and other image processing. A new image registration method based on block mutual information and quantum-behaved particle swarm optimization algorithm is proposed.In the process of registration,the block mutual information is used for the similar measure,and the transformation parameters are calcultaed by using the quantum-behaved particle swarm optimization algorithm.Experimental results show that the proposed method is efficient and it can avoid local minimum occurred in multimodality image registation,thus obtaining ideal results.
【Fund】: 教育部新世纪优秀人才计划(NCET-06-0487)资助项目;; 国家自然科学基金(60572034 60973094)资助项目;; 江苏省自然科学基金(BK2006081)资助项目;; 江南大学创新团队研究计划(JNIRT0702)资助项目
【CateGory Index】: TP391.41
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