面向盾构导向激光标靶的抗杂光算法研究
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TH741

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天津市自然科学基金(18JCYBJC88600)、天津大学精密测试技术与仪器国家重点实验室开放课题(pilab1905)项目资助


Research on the anti stray light algorithm for shield guided laser target
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    摘要:

    由于施工现场杂光的干扰,盾构导向激光光斑无法被准确识别。 针对这一问题,利用导向激光的脉冲特性,提出了一种 基于数字图像处理的抗杂光算法。 首先,对工业相机曝光时间与激光脉冲周期之间的关系进行分析,通过调节工业相机曝光时 间,可以有效地采集到导向激光产生脉冲的前后两帧图像;之后,差分两帧图像以获得目标光斑;最后,利用合适的结构元素腐 蚀图像中的杂光残影,彻底地消除杂光带来的不良影响。 实验结果表明:在激光标靶适用距离内,利用本文抗杂光算法,导向激 光光斑的识别准确率优于 93. 75% ;通过与其他抗杂光算法进行对比,在近中远距离下,识别准确率分别提升了 21. 87% 、 23. 13% 、26. 87% ,能够满足盾构导向施工要求,具有良好的应用前景。

    Abstract:

    Aiming at the problem that the shield guided laser spot cannot be accurately recognized due to the interference of stray light in the construction site. To address this issue, an anti stray light algorithm based on the digital image processing is proposed, which utilizes the pulse characteristics of guided laser. Firstly, the relationship between the exposure time of the industrial camera and the laser pulse period is analyzed. Two images before and after the guided laser pulse can be effectively acquired in the stray light environment by adjusting the exposure time of the industrial camera. Then, the difference of two frames of images to obtain the target spot. Finally, the appropriate structural element is used to corrode the residual shadow in the image to completely eliminate the adverse effects of stray light. Experimental results show that the recognition accuracy of guided laser spot is better than 93. 75% by using the anti stray light algorithm within the applicable distance of laser target. Compared with the other anti stray light algorithm, the recognition accuracy is improved by 21. 87% , 23. 13% , and 26. 87% , respectively in short, medium and long distance, which can meet the requirements of shield guided construction and has a good application prospect.

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黄 喆,赵世艺,周卫斌,徐叶倩,沈小玲.面向盾构导向激光标靶的抗杂光算法研究[J].仪器仪表学报,2022,43(4):172-181

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  • 在线发布日期: 2023-02-06
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