Performance of global look-up table strategy in digital image correlation with cubic B-spline interpolation and bicubic interpolation

Global look-up table strategy proposed recently has been proven to be an efficient method to accelerate the interpolation, which is the most time-consuming part in the iterative sub-pixel digital image correlation （DIC） algorithms. In this paper, a global look-up table strategy with cubic B-spline interpolation is developed for the DIC method based on the inverse compositional Gauss-Newton （IC-GN） algorithm. The performance of this strategy, including accuracy, precision, and computation efficiency, is evaluated through a theoretical and experimental study, using the one with widely employed bicubic interpolation as a benchmark. The global look-up table strategy with cubic B-spline interpolation improves significantly the accuracy of the IC-GN algorithm-based DIC method compared with the one using the bicubic interpolation, at a trivial price of computation efficiency.

关于汽车油罐车使用Matlab实现容量表编制的探讨

针对实验室对汽车油罐车容量的检定工作中,在处理相关数据,编制对应容量表时,手动计算费时费力,自动程度化低。为提高汽车油罐车日常检定工作效率,设计一套基于Matlab的检定数据处理软件。利用Matlab软件平台,采用三次均匀B样条插值算法,输入检定点数据参数,便自动根据温度等修正,最后生成容量表。75%以内采用手动计算与软件计算的数据相比较方法验证,试验结果表明:该软件的最大误差为-0.010%。75%~100%采用实验实际测量数据与软件计算的数据相比较方法来验证,试验结果表明:该软件的最大误差为0.005%。验证结果符合检定规程的要求,该软件可以满足汽车油罐车容量表编制的需求,提高自动化水平。