Application of a novel filtering algorithm to eliminate mechanical vibration in laser curtain detection

LU Yin; JIANG Leyan; HUANG Yuntian; TANG Ziqiang; HE Peng; ZHOU Minghao; ZHU Xu; WU Xiaoshan

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Application of a novel filtering algorithm to eliminate mechanical vibration in laser curtain detection

Laser Technology and Applications | 更新时间：2026-05-20

- Application of a novel filtering algorithm to eliminate mechanical vibration in laser curtain detection
- OPTICAL TECHNIQUE Vol. 52, Issue 3, Pages: 332-340(2026)
- 作者机构：
  
  1.国网江苏省电力有限公司建设分公司，江苏南京 210000
  2.南通南京大学材料工程研究院，江苏南通 226019
- 作者简介：
- 基金信息：
- DOI：
  CLC： TK83
- Received：14 November 2025，
  
  Revised：2026-02-17，
  
  Published：20 May 2026
- 稿件说明：
移动端阅览
卢胤,江乐岩,黄云天等.滤波新算法消除机械抖动在激光幕墙探测中的应用[J].光学技术,2026,52(03):332-340.

LU Yin,JIANG Leyan,HUANG Yuntian,et al.Application of a novel filtering algorithm to eliminate mechanical vibration in laser curtain detection[J].OPTICAL TECHNIQUE,2026,52(03):332-340.
卢胤,江乐岩,黄云天等.滤波新算法消除机械抖动在激光幕墙探测中的应用[J].光学技术,2026,52(03):332-340. DOI：

LU Yin,JIANG Leyan,HUANG Yuntian,et al.Application of a novel filtering algorithm to eliminate mechanical vibration in laser curtain detection[J].OPTICAL TECHNIQUE,2026,52(03):332-340. DOI：

摘要

噪声、扰动和机械振动导致激光幕墙偏离光扫描平面，影响安防检测效果。为提高激光幕墙探测系统的稳定性与精度，采用数学补偿方法进行处理。通过仿真研究，发现高斯滤波计算快捷，在光滑曲面的处理效果较好；小波滤波计算耗时，但在曲面突变处理上更为有效。为此，提出一种新的数学处理策略：在激光幕墙光面突变处使用小波滤波进行棱角区域补偿，保留边缘曲面特征，并结合高斯滤波对整体信号进行平滑。实验结果验证了该方法的有效性，成功融合了两种滤波器的优势，显著提高了系统的稳定性和探测精度。

Abstract

Noise

disturbances

and mechanical vibrations cause the laser curtain wall to deviate from the optical scanning plane

significantly affecting the security detection performance. To improve the stability and accuracy of the laser curtain wall detection system

mathematical compensation methods are used for processing. Simulation studies show that Gaussian filtering is fast and effective for smooth surfaces

while wavelet filtering is time-consuming but more effective in handling surface discontinuities. Therefore

a new mathematical processing strategy is proposed: wavelet filtering compensates for the edge regions of the laser curtain wall surface

preserving the edge curvature

and Gaussian filtering is applied for overall signal smoothing. Experimental results validate the effectiveness of this method

successfully integrating the advantages of both filters and significantly improving the system's stability and detection accuracy.

关键词

Keywords

references

Sun B , Edgar M P , Bowman R , et al . 3D computational imaging with single-pixel detectors [J ] . Science , 2013 , 340 （ 6134 ）: 844 — 847 .

Sun M J , Edgar M P , Gibson G M , et al . Single-pixel three-dimensional imaging with time-based depth resolution [J ] . Nature Communications , 2016 , 7 （ 1 ）: 12010 .

康岩 , 薛瑞凯 , 李力飞 , 等 . 基于 SPAD 阵列的共光路扫描三维成像 [J ] . 激光与光电子学进展 , 2021 , 58 （ 10 ）: 1011024 .

Kang Yan , Xue Ruikai , Li Lifei , et al . Co-axis scanning three-dimensional imaging based on SPAD array [J ] . Laser & Optoelectronics Progress , 2021 , 58 （ 10 ）: 1011024 .

高冬阳 , 陈宗镁 , 陈寰 , 等 . Gm-APD焦平面阵列的距离重构与三维成像实验 [J ] . 光子学报 , 2022 , 51 （ 12 ）: 1214005 .

Gao Dongyang , Chen Zongmei , Chen Huan , et al . Distance reconstruction and 3D imaging experiment of Gm-APD focal plane array [J ] . Acta Photonica Sinica , 2022 , 51 （ 12 ）: 1214005 .

唐勐 , 谢欣 , 史晓洁 , 等 . 基于偏振的时间相关单光子计数成像实验研究 [J ] . 光电技术应用 , 2022 , 37 （ 5 ）: 88 — 96, 102 .

Tang Meng , Xie Xin , Shi Xiaojie , et al . Experimental study of polarization-based TCSPC imaging [J ] . Electro-Optic Technology Application , 2022 , 37 （ 5 ）: 88 — 96, 102 .

Araki H , Tazawa S , Noda H , et al . Lunar global shape and polar topography derived from Kaguya-LALT laser altimetry [J ] . Science , 2009 , 323 （ 5916 ）: 897 — 900 .

Glennie C L , Carter W E , Shrestha R L , et al . Geodetic imaging with airborne LiDAR: the Earth's surface revealed [J ] . Reports on Progress in Physics , 2013 , 76 （ 8 ）: 086801 .

O’Toole M , Lindell D B , Wetzstein G . Confocal non-line-of-sight imaging based on the light-cone transform [J ] . Nature , 2018 , 555 （ 7696 ）: 338 — 341 .

Cao R , De Goumoëns F , Blochet B , et al . High-resolution non-line-of-sight imaging employing active focusing [J ] . Nature Photonics , 2022 , 16 （ 6 ）: 462 — 468 .

Vornicu I , López-Martínez J M , Bandi F N , et al . Design of high-efficiency SPADs for LiDAR applications in 110 nm CIS technology [J ] . IEEE Sensors Journal , 2020 , 21 （ 4 ）: 4776 — 4785 .

Chen Z , Gao B , Devereux B . State-of-the-art: DTM generation using airborne LIDAR data [J ] . Sensors , 2017 , 17 （ 1 ）: 150 .

董向华 . 基于φ-OTDR技术的海缆扰动监测系统的研究 [J ] . 光纤与电缆及其应用技术 , 2016 （ 3 ）: 32 — 33 .

Dong Xianghua . Research on submarine cable disturbance monitoring system based on φ-OTDR technology [J ] . Optical Fiber & Cable and Its Applications , 2016 （ 3 ）: 32 — 33 .

蔡海文 , 叶青 , 王照勇 , 等 . 基于相干瑞利散射的分布式光纤声波传感技术 [J ] . 激光与光电子学进展 , 2020 , 57 （ 5 ）: 050001 .

Cai Haiwen , Ye Qing , Wang Zhaoyong , et al . Distributed optical fiber acoustic sensing technology based on coherent Rayleigh scattering [J ] . Laser & Optoelectronics Progress , 2020 , 57 （ 5 ）: 050001 .

王杰 , 贾新鸿 , 饶云江 , 等 . 基于双向拉曼放大的相位敏感光时域反射仪 [J ] . 物理学报 , 2013 , 62 （ 4 ）: 044212 .

Wang Jie , Jia Xinhong , Rao Yunjiang , et al . Phase-sensitive OTDR based on bidirectional Raman amplification [J ] . Acta Physica Sinica , 2013 , 62 （ 4 ）: 044212 .

Chou P H , Hsu Y L , Yang S C , et al . Vibration measurement and suppression for laser galvanometers using a micro-electromechanical system-based accelerometer [J ] . Sensors and Materials , 2018 , 30 （ 11 ）: 2401 — 2418 .

Zhang F M , Li Y T , Pan H , et al . Vibration compensation of the frequency-scanning-interferometry-based absolute ranging system [J ] . Applied Sciences , 2019 , 9 （ 1 ）: 147 .

Venkataraayan K , Askraba S , Alameh K E , et al . Multi-wavelength laser sensor for intruder detection and discrimination [J ] . Optics and Lasers in Engineering , 2012 , 50 （ 2 ）: 176 — 181 .

Beerer M J , Yoon H , Agrawal B N . Practical adaptive filter controls for precision beam pointing and tracking with jitter attenuation [J ] . Control Engineering Practice , 2013 , 21 （ 1 ）: 122 — 133 .

Wang Y M , Huang Q , Jiang C X , et al . Video stabilization: a comprehensive survey [J ] . Neurocomputing , 2023 , 516 : 205 — 230 .

Souza M R E , Maia H A , Pedrini H , et al . Survey on digital video stabilization: concepts, methods, and challenges [J ] . ACM Computing Surveys , 2023 , 55 （ 3 ）: 1 — 37 .

Othman G , Zeebaree D Q . The applications of discrete wavelet transform in image processing: a review [J ] . Journal of Soft Computing and Data Mining , 2020 , 1 （ 2 ）: 31 — 43 .

Mafi M , Martin H , Cabrerizo M , et al . A comprehensive survey on impulse and Gaussian denoising filters for digital images [J ] . Signal Processing , 2019 , 157 : 236 — 260 .

Park Y , Kim S . Wavelet-domain denoising and surface enhancement for LiDAR point clouds [J ] . Optics and Lasers in Engineering , 2021 , 143 : 106627 .

Zhou Z , Hua D , Wang Y , et al . Improvement of the signal-to-noise ratio of lidar echo signal based on wavelet denoising technique [J ] . Optics and Lasers in Engineering , 2013 , 51 （ 8 ）: 961 — 966 .

Zheng D , et al . An adaptive continuous threshold wavelet denoising method for LiDAR echo signal [J ] . Nanotechnology and Precision Engineering , 2024 , 8 （ 2 ）: 023006 .

Wang Z , Ding H , Wang B , et al . New denoising method for lidar signal by the WT-VMD joint algorithm [J ] . Sensors , 2022 , 22 （ 16 ）: 5978 .

Cheng X , Mao J , Li J , et al . An EEMD-SVD-LWT algorithm for denoising a lidar signal [J ] . Measurement , 2021 , 168 : 108405 .

Zha J , Wu S , Chen Z . A novel LiDAR echo signal denoising method based on variational mode decomposition and improved wavelet thresholding [J ] . Sensors , 2025 , 25 （ 20 ）: 6330 .

Wen G , Zhang H , Guan Z , et al . Bilateral filter denoising of lidar point cloud data in automatic driving scene [J ] . Infrared Physics & Technology , 2023 , 131 : 104724 .

罗乐 . 重载铁路货车轴承突发性损伤类故障检测 [J ] . 科技通报 , 2012 , 28 （ 7 ）: 95 — 97 .

Luo Le . Detection of sudden damage faults of heavy-haul railway wagon bearings [J ] . Science & Technology Bulletin , 2012 , 28 （ 7 ）: 95 — 97 .

李如雄 , 方平 . 基于过程参数的点焊质量监测研究 [J ] . 科技通报 , 2011 , 27 （ 5 ）: 740 — 745 .

Li Ruxiong , Fang Ping . Quality monitoring of spot welding based on process parameters [J ] . Science & Technology Bulletin , 2011 , 27 （ 5 ）: 740 — 745 .

王振华 , 窦丽华 , 陈杰 . 一种尺度自适应调整的高斯滤波器设计方法 [J ] . 光学技术 , 2007 , 33 （ 3 ）: 395 — 397 .

Wang Zhenhua , Dou Lihua , Chen Jie . A scale-adaptive Gaussian filter design method [J ] . Optical Technique , 2007 , 33 （ 3 ）: 395 — 397 .

蔡靖 , 杨晋生 , 丁润涛 , 等 . 模糊加权均值滤波器 [J ] . 中国图象图形学报: A 辑 , 2000 , 5 （ 1 ）: 52 — 56 .

Cai Jing , Yang Jinsheng , Ding Runtao , et al . Fuzzy weighted mean filter [J ] . Journal of Image and Graphics （A Edition） , 2000 , 5 （ 1 ）: 52 — 56 .

胡浩 , 王明照 , 杨杰 . 自适应模糊加权均值滤波器 [J ] . 系统工程与电子技术 , 2002 , 24 （ 2 ）: 15 — 17 .

Hu Hao , Wang Mingzhao , Yang Jie . Adaptive fuzzy weighted mean filter [J ] . Systems Engineering and Electronics , 2002 , 24 （ 2 ）: 15 — 17 .

侯迎坤 , 刘明霞 , 杨德运 , 等 . 多级块匹配变换域滤波图像去噪 [J ] . 计算机辅助设计与图形学学报 , 2014 , 26 （ 2 ）: 225 — 231 .

Hou Yingkun , Liu Mingxia , Yang Deyun , et al . Multi-stage block-matching transform-domain filter for image denoising [J ] . Journal of Computer-Aided Design & Computer Graphics , 2014 , 26 （ 2 ）: 225 — 231 .

Heath M T . Scientific computing: an introductory survey [M ] . New York : McGraw-Hill , 2002 .

邓春华 , 周勇 . 小波检测的二次迭代修剪均值滤波算法 [J ] . 光学技术 , 2021 , 47 （ 6 ）: 741 — 746 .

Deng Chunhua , Zhou Yong . Twice-iterated trimmed mean filtering algorithm based on wavelet detection [J ] . Optics Technique , 2021 , 47 （ 6 ）: 741 — 746 .

吴丽华 , 聂丰英 . 基于复小波与最大后验估计的红外图像滤波 [J ] . 光学技术 , 2023 , 49 （ 1 ）: 113 — 119 .

Wu Lihua , Nie Fengying . Infrared image filtering based on complex wavelet and MAP estimation [J ] . Optics Technique , 2023 , 49 （ 1 ）: 113 — 119 .

Ding S , Chen X , Ai C , et al . A noise-reduction algorithm for raw 3D point cloud data of asphalt pavement surface texture [J ] . Scientific Reports , 2024 , 14 : 16633 .

Deng G , Cahill L W . An adaptive Gaussian filter for noise reduction and edge detection [C ] // Proceedings of the IEEE Nuclear Science Symposium & Medical Imaging Conference . 1993 : 1615 — 1619 .

李健 , 丁小奇 , 陈光 , 等 . 基于改进高斯滤波算法的叶片图像去噪方法 [J ] . 南方农业学报 , 2019 , 50 （ 6 ）: 1385 — 1391 .

Li Jian , Ding Xiaoqi , Chen Guang , et al . Blade image denoising method based on improved Gaussian filtering algorithm [J ] . Journal of Southern Agriculture , 2019 , 50 （ 6 ）: 1385 — 1391 .

王文远 . 基于图像信噪比选择优化高斯滤波尺度 [J ] . 电子与信息学报 , 2009 , 31 （ 10 ）: 2483 — 2487 .

Wang Wenyuan . Selection of optimal Gaussian filtering scale based on image SNR [J ] . Journal of Electronics & Information Technology , 2009 , 31 （ 10 ）: 2483 — 2487 .

Swinkels B L , Bhattacharya N , Braat J J M . Correcting movement errors in frequency-sweeping interferometry [J ] . Optics Letters , 2005 , 30 （ 17 ）: 2242 — 2244 .

Yang H J , et al . High-precision absolute distance and vibration measurements performed with frequency-scanned interferometry [J ] . Applied Optics , 2005 , 44 （ 19 ）: 3937 — 3944 .

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