从图像运动估计中的基本假设——灰度不变假设出发,用优化方法建立了基于整幅图像匹配的数字散斑相关方法(也称为数字图像相关方法)求解模型,即全场优化求解模型.从建立的全场求解模型出发可引申出常用的两类数字散斑相关方法的求解思路,即基于离散的子区匹配的数字散斑相关方法求解模型和基于有限元的数字散斑相关方法求解模型.从模型建立及求解分析中可知,位移表征模式是数字散斑相关方法求解模型的关键,不同的位移表征模式可构成不同的数字散斑相关方法求解方法.
Based on the very basic assumption in image motion estimation, i.e. the gray-lever invariant assumption, the global optimization solving model for digital speckle correlation method (DSCM), which is also named as digital image correlation(DIC) method was constructed by matching the whole speckle images, instead of subsets of speckled images. Then two kinds of solving schemes for DSCM, subset matching and FEM based DSCM, could be deduced from the global optimization solving model proposed in this paper. It is emphasized that the displacement representation mode is the key to DSCM solving, so different displacement representation modes could induce different DSCM solving schemes.