Monomodal registration with adaptive parameter computing

摘要：

Most implementations for image registration are produced by defining a similarity measure between two given images,then minimizing an energy functional that combines both similarity and regularity measures.The registration result greatly relies on the weight parameter which usually be given in advance,big or small parameter may produce the discontinuous deformation field or bad registration.In this paper,we discuss an adaptive parameter computing method for monomodal image registration,employ the energy functional with probability density function search the weight parameter corresponding to the local degrees of variability in matching.Some experiments show that this method can less sensitive to the choice of the parameter and improve the computing precision.

关键词： image registration adaptive parameter computing probability density function

作者: Murong Jiang Yongyan Lin Yunmei Chen Jinseop Lee

作者单位: School of Information,Yunnan University,Kunming,650091,China Department of Mathematics,University of Florida,Gainesville,FL 32611-8105

会议类型: 国际会议

会议名称: International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)

会议地点: 上海

会议语种:英文

在线出版日期: 2008-06-29（万方平台首次上网日期，不代表论文的发表时间）