基于种子点扩散的并行计算方法及反向组合高斯-牛顿算法，实现了数字图像相关的现场实时测量。根据被测区域的连通性与不连通性，分别描述了单种子点与多种子点的并行计算方法。结果表明，多种子点并行计算方法可以有效地解决不连通区域的实时测量。成功将该方法用于土木准静态实验测量，实时获取全场位移及应变。碳纤维增强复合材料(CFRP)片材-钢板界面粘结滑移关系实验表明：该方法可以实时获取全场变形，根据变形场可直接判断剥离点的位置；该方法实时记录了界面剥离的扩展过程，直接得到了CFRP 片材与钢板界面粘结滑移关系，为研究纤维增强复合材料(FRP)加固界面性能提供了有效的测量手段。实时测量将有助于数字图像相关方法在土木行业更进一步的推广。

A real-time digital image correlation method is realized using the seed point-based parallel method and inverse compositional Gauss-Newton algorithm. According to the continuity of measured area, the single-seed parallel method and multiple-seed parallel method are described respectively. The results indicate that the multipleseed parallel method can be effectively used to measure regions separated by poorly correlated data. The proposed method is successfully applied to quasi-static test in civil engineering, obtaining the full-field displacement and strain distribution in real time. Conclusions can be obtained from the experiment of measuring the bond- slip relationship of carbon fiber reinforced plastic(CFRP) sheet-steel interface: the method can be used to gain the fullfield deformation and the location of stripping area can be determined directly; the stripping process of interface can be recorded in real time and bond-slip relationship of interface can be obtained directly, which provides an effective way to measure and analyze the behavior of fiber reinforced plastic(FRP) consolidating structure. The realtime measurement will help to further promote digital image correlation method in civil engineering.