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作 者:闵永智[1] 康飞[1] 党建武[1] 张振海[1] 吴云天[2] 徐实[2]
机构地区:[1]兰州交通大学自动化与电气工程学院,甘肃兰州730070 [2]兰州铁路局,甘肃兰州730070
出 处:《铁道学报》2014年第2期81-85,共5页Journal of the China Railway Society
基 金:国家自然科学基金(61162016;60962004);铁道部科技计划项目(2010G-014G);甘肃省自然科学基金(1308RJZA172)
摘 要:光斑中心精确定位技术关系到图像式无砟轨道沉降监测系统的测量精度。针对传统光斑定位技术在对接收靶面受到干扰的不规则光斑图像定位时会产生较大误差的问题,在图像预处理的基础上,依据采集图像灰度呈高斯分布的特点,提出基于重心的灰度分布曲线拟合方法,通过重心法初步定位光斑中心的位置,利用二次曲线拟合灰度高斯分布进一步精确定位激光光斑中心。通过实验及现场测试表明,该方法定位精度高,鲁棒性好,满足图像式无砟轨道沉降监测系统监测精度要求。Precise light spot center positioning technology is critical to measurement accuracy of the image bal-lastless track settlement monitoring system . With traditional light spot positioning technology , large errors may be produced when positioning disturbed irregular spot images on received target surfaces . To deal with the problem ,the image was preprocessed ,and on this basis ,according to the characteristic that gradations of the acquired image appear in Gaussian distribution , the gray-scale distribution curve fitting method based on the gravity center of spot was put forward .With the proposed method ,firstly ,the light spot center was initially positioned by using the gravity center method ;then the laser spot center was positioned precisely by using the quadratic curve to fit grayscale Gaussian distribution . Laboratory and field tests show that the proposed meth-od is of high positioning accuracy and good robustness , and is appropriate to satisfy the accuracy requirements of image-type ballastless track settlement monitoring systems .
分 类 号:U213.244[交通运输工程—道路与铁道工程]
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