模板图像匹配中的亚像元定位新方法  

A NEW ALGORITHM WITH SUB PIXEL ACCURACY IN IMAGE/MODEL MATCHING

作　　者：赵立初[1] 施鹏飞[1] 俞勇 周煦潼 与那霸诚 

机构地区：[1]上海交通大学图像处理与模式识别研究所,上海200030 [2]上海住金控制系统有限公司,上海200080

出　　处：《红外与毫米波学报》1999年第5期407-411,共5页Journal of Infrared and Millimeter Waves

基　　金：国家自然科学基金

摘　　要：研究了模板与图像匹配中元定位的方法．分析了在亚像元定位中的重采样和曲面拟合方法，对重采样方法进行如下改进：仅对模板进行ｎ 倍重采样，产生（２ｎ－ １）个子模板，计算每个子模板与图像的归一化相关系数（ＮＣ值），则ＮＣ最大值的子模板所对应的偏移即为要求取的亚像元偏移．并提出了一种导数求取曲面拟合系数的方法；融合重采样和曲面拟合提出了一种新的亚像元定位方法，实验结果表明了此算法的有效性．The algorithms to obtain sub pixel accuracy in image/model matching were discussed. The resampling and fitting methods’ characteristics were analyzed. The following improvement was made to alleviate the computation burden: 1) only the model is needed to be resampled n times; 2) (2* n 1) sub models are generated; 3) the NCs among each sub model and the image are calculated; 4) the maximum among the sub model is chosen and the shifts corresponding to this sub model are the sub pixel shifts required. Then a new algorithm was proposed to combine the resampling and fitting methods. The effectiveness of the proposed algorithm was validated by the experiment.

关 键 词：亚像元 重采样 曲面拟合 模板 图像匹配 

分 类 号：TN941.1[电子电信—信号与信息处理]