Medical Images Registration Based on Gradient Mutual Information and Improved Genetic Algorithm

摘要：

This paper suggests one method to process images registration to promote time and precise combined gradient mutation information with improved genetic algorithm. Adaptive probabilities of the crossover and the mutation are adopted to prevent the process from falling into a local maximum. Combination of the mutual information strategy with adaptive probabilities of GA accelerates convergence of the iterative process.

关键词： gradient mutual information (GMI) genetic algorithm (GA) medical image registration adaptive crossover and mutation probabilities

作者: Feng Yang Kuang Fu

作者单位: School of Computer Science Technology,Heilongjiang UniversityHarbin, Heilongjiang, China The Second Affiliated Hospital of Harbin Medical University Harbin, Heilongjiang, China

会议类型: 国际会议

会议名称: 2011 International Conference on Information System and Computational Intelligence(2011 IEEE信息系统与计算智能国际会议 ICISCI 2011)

会议地点: 哈尔滨

会议语种:英文

页码: 495-498

在线出版日期: 2011-01-18（万方平台首次上网日期，不代表论文的发表时间）