In area-based registration methods,templates are always selected as square or rectangle.If there exist significant transformations of the image,such as rotation,the match becomes difficult.In this paper,a new registration approach based on circular templates and Histogram Normalized Cross-Correlation(HNCC)method is proposed.After dividing the sensed image into several square parts,many control points can be found based on circular templates and the HNCC method.Then,according to a transformation model,using the least square method,the transformation parameters can be obtained.Compared with the existing feature-based approaches,it is easier to obtain CPs by the proposed approach and needs no s~ient objects.At the same time,it is simple,efficient and easy to be understood.Simulation experiments demonstrate the effectiveness of the proposed approach.作者简介：周东华(1963-)男,河北邯郸人,系副主任,教授,博士,从事故障诊断、图像处理等方面的研究工作.Email:zdh@mail.tsinghua.edu.cn