图像拼接
图像扭曲
数字图像相关
计算机科学
计算机视觉
人工智能
翻译(生物学)
图像处理
稳健性(进化)
光学
算法
图像(数学)
物理
生物化学
化学
信使核糖核酸
基因
作者
Long Sun,Chen Tang,Min Xu,Zhenkun Lei
出处
期刊:Applied Optics
[The Optical Society]
日期:2022-05-06
卷期号:61 (22): G28-G28
被引量:4
摘要
As a representative method of optical non-interference measurement, digital image correlation (DIC) technology is a non-contact optical mechanics method that can measure the displacement and deformation of the whole field. However, when the measurement range of the field is too large, the existing DIC method cannot measure the full-field strain accurately, which limits the application of the DIC measurement in the case of a large size and wide-field view. To address this issue, a DIC measurement method for large-scale structures based on adaptive warping image stitching is proposed in this paper. First, multiple adjacent high-resolution images are collected at different locations of large-scale structures. Secondly, the collected images are stitched by applying the adaptive warping image stitching algorithm to obtain a panoramic image. Finally, the DIC algorithm is applied to solve the whole deformation field. In the experiments, we first verify the feasibility of the proposed method for image matching and fusion through the numerical simulation of a rigid body translation experiment. Then the accuracy and robustness of the proposed method in practical application are verified by rigid body translation and a three-point bending experiment. The experimental results demonstrate that the measurement range of DIC is improved significantly with the adaptive warping image stitching algorithm.
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