数字图像相关
算法
像素
计算机科学
流离失所(心理学)
斑点图案
计算机视觉
人工智能
位移场
图像(数学)
数字图像
图像配准
图像处理
光学
热力学
物理
有限元法
心理学
心理治疗师
作者
Bing Pan,Huimin Xie,Bo Xu,Fulong Dai
标识
DOI:10.1088/0957-0233/17/6/045
摘要
Developments in digital image correlation in the last two decades have made it a popular and effective tool for full-field displacement and strain measurements in experimental mechanics. In digital image correlation, the use of the sub-pixel registration algorithm is regarded as the key technique to improve accuracy. Different types of sub-pixel registration algorithms have been developed. However, little quantitative research has been carried out to compare their performances. This paper investigates three types of the most commonly used sub-pixel displacement registration algorithms in terms of the registration accuracy and the computational efficiency using computer-simulated speckle images. A detailed examination of the performances of each algorithm reveals that the iterative spatial domain cross-correlation algorithm (Newton–Raphson method) is more accurate, but much slower than other algorithms, and is recommended for use in these applications.
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