Accurate displacement measurement via a self-adaptive digital image correlation method based on a weighted ZNSSD criterion

作     者：Yuan, Yuan Huang, Jianyong Peng, Xiaoling Xiong, Chunyang Fang, Jing Yuan, Fan 

作者机构：Peking Univ Coll Engn Beijing 100871 Peoples R China Duke Univ Dept Biomed Engn Durham NC 27708 USA 

出 版 物：《OPTICS AND LASERS IN ENGINEERING》 (工程光学与激光)

年 卷 期：2014年第52卷第1期

页      面：75-85页

核心收录：

学科分类：070207[理学-光学] 07[理学] 08[工学] 0803[工学-光学工程] 0702[理学-物理学] 

基　　金：National Basic Research Program of China [2013CB933702, 2011CB809106] National Natural Science Foundation of China [11002003, 11072004] 

主　　题：Deformation measurement Subpixel registration Subset size Self-adaptive algorithm Gaussian window 

摘      要：Digital image correlation (DIC) technique has been increasingly employed to implement surface deformation measurements in many engineering fields. Practically, it has been demonstrated that the choice of subset sizes exerts a strong influence on measurement results of DIC, especially when there exists locally larger deformation over the subsets involved. This paper proposes a novel subpixel registration algorithm with Gaussian windows to implicitly optimize the subset sizes by adjusting the shape of Gaussian windows in a self-adaptive fashion with the aid of a so-called weighted zero-normalized sum-of-squared difference correlation criterion. The feasibility and effectiveness of the self-adaptive algorithm are carefully verified through a set of well-designed synthetic speckle images, which indicates that the presented algorithm is able to greatly enhance the accuracy and precision of displacement measurements as compared with the traditional subpixel registration methods. (C) 2013 Elsevier Ltd. All rights reserved.