多特征加权指数熵在光斑中心定位中的应用  

Application of multi-feature weighted exponential entropy in light-spot center positioning

作　　者：张明富 马月辉 段梦琨 郑军飞 孙晓贤 ZHANG Mingfu;MA Yuehui;DUAN Mengkun;ZHENG Junfei;SUN Xiaoxian(School of Electrical and Electronic Engineering,Shijiazhuang Tiedao University,Shijiazhuang 050011,China;China Railway Material Trade Group(Beijing)Co.,Ltd.,Beijing 100071,China)

机构地区：[1]石家庄铁道大学电气与电子工程学院,河北石家庄050011 [2]中铁物贸(北京)有限公司,北京100071

出　　处：《现代电子技术》2020年第23期20-23,共4页Modern Electronics Technique

基　　金：国家重点研发计划项目支持(2017YFC0704003);石家庄铁道大学研究生创新自主项目(YC2019067)。

摘　　要：激光光斑中心检测是视觉测量中常用的关键技术,检测算法的优劣直接影响了测量的精度。针对现有光斑定位算法存在定位精度低、抗干扰能力差等问题,提出一种改进的激光光斑中心定位算法。该算法在Shannon熵的基础上引入指数熵,并根据光斑图像特征选取类内离散度最小和灰度对比度最大对指数熵进行加权处理,将使加权指数熵值最大时的灰度值作为阈值对光斑图像进行阈值分割,由此消除噪声干扰,最后由质心法进行光斑中心定位。实验表明,在兼顾稳定性的同时,与传统阈值分割方法相比,光斑中心定位误差降低了22%以上。Detection of laser spot center is a key technology commonly used in vision measurement.The quality of detection algorithm affects the accuracy of measurement directly.In allusion to the problems of low positioning accuracy and poor antijamming ability of the existing spot location algorithms,an improved laser spot center positioning algorithm is proposed.The exponential entropy is introduced on the basis of Shannon′s entropy.According to the characteristics of the light-spot image,the exponential entropy is weighted by choosing the smallest intra-class dispersion and the largest gray contrast ratio.The gray value of the maximum weighted exponential entropy is used as the threshold to segment the spot image,and eliminate noise interference.The center positioning of the light-spot has been realized by the centroid method.The experiment results show that,in comparison with the traditional threshold segmentation method,the error of the laser spot center positioning algorithm is reduced by more than 22%while it gives consideration of stability.

关 键 词：视觉测量 光斑定位 指数熵应用 阈值分割 加权处理 噪声干扰消除 

分 类 号：TN911.73-34[电子电信—通信与信息系统] TP391.41[电子电信—信息与通信工程]