摘要
对遗传算法、粒子群算法、人工鱼群算法三种整像素搜索算法在微位移测量中的应用进行了对比研究。以相关系数大小衡量图像的匹配精度,选择归一化互相关函数作为相关系数及算法的目标函数;对目标函数进行迭代求解,得到了整像素的微位移;以模拟散斑图为研究对象,对三种算法的匹配精度、搜索速度、微位移测量结果进行了对比分析。结果表明,遗传算法在匹配精度、搜索速度及微位移测量精度上具有明显的优势,能满足数字图像相关法在微位移测量中的应用需求。
Three integer pixel search algorithms of genetic algorithm,particle swarm optimization,and artificial fish swarm algorithm applied in the micro-displacement measurement are studied and compared.The matching precision of the images is evaluated by the size of the correlation coefficient and the normalized cross-correlation function is selected as the correlation coefficient and the objective function of algorithms.The objective function is iteratively solved to obtain the micro-displacement result of the integer pixels.The simulated speckle pattern is taken as the research object,and the matching precision,searching speed,and micro-displacement measurement results for these three algorithms are compared and analyzed.The results show that the genetic algorithm has obvious advantages in the matching precision,searching speed and micro-displacement measurement precision,which can meet the application requirements of the digital image correlation method in the micro-displacement measurement.
作者
葛朋祥
叶沛
李桂华
Ge Pengxiang;Ye Pei;Li Guihua(College of Electrical Engineering and Automation, Anhui University, Hefei, Anhui 230601, China)
出处
《光学学报》
EI
CAS
CSCD
北大核心
2018年第6期198-203,共6页
Acta Optica Sinica
基金
教育部留学回国人员科研启动基金(2015KJS010003)
安徽高校省级自然科学研究重点项目(KJ2016A037)
安徽省振兴计划(J05201343)
关键词
测量
数字图像相关法
微位移
匹配精度
搜索速度
遗传算法
measurement
digital image correlation method
micro-displacement
matching precision
searching speed
genetic algorithm
