Non-iterative image feature matching algorithm based on reference point correspondences  

一种非迭代的同名标记点图像特征匹配算法(英文)

作　　者：张维中[1] 张丽艳[2] 王小平[2] 丁志安[2] 周玲[2] 

机构地区：[1]青岛大学信息工程学院,青岛266071 [2]南京航空航天大学CAD/CAM工程研究中心,南京210016

出　　处：《Journal of Southeast University(English Edition)》2007年第2期190-195,共6页东南大学学报（英文版）

基　　金：The National Natural Science Foundation of China(No50475041)

摘　　要：Based on the coded and non-coded targets, the targets are extracted from the images according to their size, shape and intensity etc., and thus an improved method to identify the unique identity（D） of every coded target is put forward and the non-coded and coded targets are classified. Moreover, the gray scale centroid algorithm is applied to obtain the subpixel location of both uncoded and coded targets. The initial matching of the uncoded target correspondences between an image pair is established according to similarity and compatibility, which are based on the ID correspondences of the coded targets. The outliers in the initial matching of the uncoded target are eliminated according to three rules to finally obtain the uncoded target correspondences. Practical examples show that the algorithm is rapid, robust and is of high precision and matching ratio.利用编码元和非编码元,根据标记点的尺寸、形状及灰度变化等特征提取目标,然后利用非编码元与编码元的不同形状与灰度特征,提出一种改进的编码元自动身份识别方法,同时实现非编码元与编码元的分类;并利用质心定位方法抽取标记点中心位置,抽取的中心具有亚像素级.在利用编码元的身份信息实现同名编码元匹配的基础上,由相似性和相容性确定非编码元的初始匹配,通过3个准则从非编码元的初始匹配中剔除误匹配,最终得到同名非编码元的匹配结果.经实验验证,该算法速度快、匹配率高、鲁棒性好.

关 键 词：reference points detection coded and non-coded target SUBPIXEL gray scale centroid point correspondence 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]