刚体变换下基于轮廓的多传感器图像配准算法  

Contour-based multisensor image registration with rigid transformation

作　　者：陈桂友[1] 徐胜男[2] 李振华[3] 钟麦英[1] 

机构地区：[1]山东大学控制科学与工程学院,山东济南250061 [2]济南广播电视大学信息技术学院 [3]上海交通大学电子信息与电气工程学院,上海200030

出　　处：《系统工程与电子技术》2007年第7期1169-1173,共5页Systems Engineering and Electronics

基　　金：国家自然科学基金资助课题(60374021)

摘　　要：提出了一种基于轮廓的多传感器图像配准算法,输入图像之间的几何变换假设为刚体变换。该配准算法的特点是根据匹配轮廓对的质心和长轴计算配准参数,克服了传统的基于特征的图像配准算法控制点检测与匹配的问题,算法鲁棒性较高。首先提取输入图像中的明显轮廓,然后对提取的轮廓进行匹配,并将其中匹配的开轮廓对转化为闭合轮廓对,然后根据所有闭合轮廓对的质心和长轴估计配准参数。实验结果表明,所提算法能精确解决输入图像之间仅存在旋转和平移情况时的图像配准问题。A contour-based multisensor image registration algorithm is presented. The geometrical deformation between the input images is supposed to be rigid transformation. The characteristic of this approach is that the registration parameters are calculated according to the centroids and long axes of matched contour pairs in the input images. It is robust as it overcomes the difficulties of control point detection and correspondence in normal feature-based registration techniques. Salient contours are firstly extracted from the input images. Then, contour matching is performed to obtain the closed contour matches and open contour matches. The open contour matches are transferred into closed contour matches, The registration parameters are estimated according to the centroids and the angles of long axes of the closed contour matches, Experiments using real data show that the proposed algorithm works well in multisensor image registration with rigid transformation,

关 键 词：图像配准 刚体变换 轮廓 质心 长轴 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]