基于单红外光与单白光的双光谱测距方法  

Double Spectral Ranging Method Based on Single Infrared Light and Single White Light

作　　者：金阳 田军委[1] 于亚琳 张震 刘雪松 JIN Yang;TIAN Junwei;YU Yalin;ZHANG Zhen;LIU Xuesong(School of Mechanical and Electrical Engineering,Xi'an University of Technology,Xi'an 710021,CHN;School of Opto-electronic Engineering,Xi'an University of Technology,Xi'an 710021,CHN;Inner Mongolia North Heavy Industry Group Co.LTD,Baotou Inner Mongolia014030,CHN)

机构地区：[1]西安工业大学机电工程学院,西安710021 [2]西安工业大学光电工程学院,西安710021 [3]内蒙古北方重工业集团有限公司,内蒙古包头014030

出　　处：《光电子技术》2023年第1期67-73,79,共8页Optoelectronic Technology

基　　金：陕西省重点研发计划(2021GY-318);陕西省重点研发计划(2022GY-068)。

摘　　要：为了克服红外光与白光成像机理不同引起的图像信息无法同步、无法同时使用红白光双光谱系统实现测距的问题,以待测目标的边界作共性特征,采用红白光相机对同一目标的共性特征进行采集,将采集到的图像通过高斯算子进行平滑处理,再运用Laplace扩展算子进行边界特征检测,将不同距离下目标边界像素位置数据进行线性拟合并建立测距误差模型,从而生成边界特征匹配算法。研究结果表明边界特征匹配算法可以使红白光双目系统克服成像机理不同这一问题实现测距功能,测距范围可达到40 m,最大相对误差是0.975%。With different imaging mechanisms of infrared light and visible light, the image information could not be synchronized, and the dual spectral system of infrared light and visible light could not be used simultaneously to achieve the ranging function. In this paper, the boundary of the target to be measured was used as a common feature, infrared and visible light cameras were used to collect the common features of the same target, the collected image was smoothed by the Gaussian operator, and then the Laplace expansion operator was used to detect the boundary features, linear fitting was performed on the pixel position data of the target boundary at different distances, and a ranging error model was established, so as the boundary feature matching algorithm was generated. The research results showed that the boundary feature matching algorithm could enable the infrared visible binocular system to overcome the problem of different imaging mechanisms, and achieve ranging. The ranging range could reach 40 m, and the maximum relative error is 0.975%.

关 键 词：双光谱 测距功能 边界特征匹配 测距误差模型 

分 类 号：TN219[电子电信—物理电子学]