在力学实验中,位移和应变的测量是最基本任务之一。本文提出了一种基于Harris角点检测的位移测量算法。通过检测变形前图像的角点,然后利用光流跟踪技术在变形图像中搜索其匹配点,最终计算得到位移值。算法对图像采用网格划分方式进行计算,达到了全场测量的目的。实验结果表明,该算法位移测量精度高、稳定性好,可作为基于图像处理的无损测量方法。
Displacement and strain measurement is an indispensable part for mechanical experiment. A new displacement and deformation measurement algorithm based on Harris corner detection is proposed in this paper. In this algorithm, Harris corner detection algorithm is used first to search corner features and then optic flow tracking method is used to match the corresponding corner point. Finally, the displacement values are obtained. In order to obtain displacement measurement of full field, the image is gridded. Experimental results show that this algorithm has high precision and good stability and may be used as a nondestructive measurement method based on image processing.