用于数字图像相关位移测量的一种改进爬山算法  

Improved Climbing Algorithm for Digital Image Correlation Displacement Measurements

作　　者：叶沛 张梅[1] 马万龙 朱天天 李桂华[1] Ye Pei;Zhang Mei;Ma Wanlong;Zhu Tiantian;Li Guihua(School of Electrical Engineering and Automation,Anhui University,Hefei Anhui 230601 China)

机构地区：[1]安徽大学电气工程与自动化学院,安徽合肥230601

出　　处：《激光与光电子学进展》2020年第2期279-285,共7页Laser & Optoelectronics Progress

基　　金：留学回国启动基金项目(2015KJS010003);安徽省教育厅重点项目(KJ2016A037);安徽省基金项目(1908085ME172)。

摘　　要：数字图像相关(DIC)方法因其光路简单、适应性好在位移和应变测量中得到广泛应用,在大位移测量中提高DIC匹配速度尤为重要。提出一种改进的爬山算法,修正了传统爬山法易陷入局部极值的缺点,提高了搜索速度,使其适用于大位移测量。用模拟散斑图对改进算法进行实验测试和对比分析,结果表明:这种方法的总体搜索速度与精度优于传统爬山法,当步长改变系数选择恰当时,该算法能以较快的搜索速度得到正确结果。Digital image correlation(DIC)method has been widely used in displacement and strain measurements because of its simple optical path and good adaptability.It is particularly important for improving the speed of DIC matching in large displacement measurements.This paper proposes an improved climbing algorithm that corrects the shortcomings that result in the traditional climbing algorithm easily approaching the local extremum.Furthermore,the proposed algorithm improves the search speed,making it suitable for large displacement measurements.It is tested and compared with simulated-speckle patterns.The results show that the overall search speed and precision of this method are better than those of traditional climbing algorithms.When the step-size change coefficient is appropriate,the algorithm can quickly obtain the accurate result.

关 键 词：机器视觉 数字图像相关法 爬山法 整像素搜索 大位移测量 搜索速度 

分 类 号：O439[机械工程—光学工程]