Real-time uncertainty reduction in laser triangulation via dynamic speckle correlation

被引:2
|
作者
Cui, Hao [1 ,2 ,3 ,4 ]
Li, Xingqiang [1 ,2 ,4 ]
Cong, Rigang [1 ,2 ,4 ]
Bai, Jiajun [1 ,2 ,4 ]
Du, Jinsong [1 ,2 ,4 ]
机构
[1] Chinese Acad Sci, Shenyang Inst Automat, Intelligent Detect & Equipment Dept, Shenyang 110016, Peoples R China
[2] Chinese Acad Sci, Inst Robot & Intelligent Mfg, Shenyang 110169, Peoples R China
[3] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[4] Key Lab Intelligent Detect & Equipment Technol Lia, Shenyang 110169, Peoples R China
关键词
Laser triangulation; Laser speckle; Measurement uncertainty; Dynamic speckle correlation; Error compensation; IMAGE; PERFORMANCE; DESIGN; SENSOR; ARRAY;
D O I
10.1016/j.measurement.2024.114842
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The speckle -induced measurement uncertainty is one of the major bottlenecks to achieve high measurement accuracy in laser triangulation sensors (LTS). Conventional methods for improving uncertainty focus on suppressing speckles and refining centroid extraction algorithms, overlooking the potential information about object motion that speckles inherently contain. To address this deficiency, a dynamic speckle correlation (DSC) method is proposed to reduce speckle -induced measurement uncertainty in laser triangulation systems. This method uses the correlation between speckle patterns and the movement of the object being measured, thereby enabling real-time error compensation without any speckle reduction mechanisms. To verify the effectiveness of the DSC method, we have designed a compact LTS based on oblique incident laser. Extensive experiments demonstrate that, for displacement measurement of objects with surface roughness ranging from Ra 0 . 4 to Ra 3 . 2, the DSC method can effectively reduce the root mean square (RMS) measurement error to 3 similar to 5 mu m. Compared with using the traditional grayscale centroid method alone, the measurement accuracy after DSC compensation is improved by at least 20%.
引用
收藏
页数:12
相关论文
共 50 条
  • [31] Real-Time Observations of Leaf Vitality Extinction by Dynamic Speckle Imaging
    Colin, Elise
    Garcia-Caurel, Enrique
    Adeline, Karine
    Plyer, Aurelien
    Orlik, Xavier
    PHOTONICS, 2024, 11 (11)
  • [32] Multimodal real-time imaging with laser speckle contrast and fluorescent contrast
    Park, Hyun-Seo
    Shim, Min-Jae
    Kim, Yikeun
    Ko, Taek-Yong
    Choi, Jin-Hyuk
    Ahn, Yeh-Chan
    PHOTODIAGNOSIS AND PHOTODYNAMIC THERAPY, 2024, 45
  • [33] New technique of determining surface roughness in real-time with laser speckle
    Wang, Yawei
    Jiguang Jishu/Laser Technology, 1993, 17 (03): : 150 - 153
  • [34] Combined laser Doppler and laser speckle imaging for real-time blood blow measurements
    Serov, Alexandre
    Lasser, Theo
    OPTICAL DIAGNOSTICS AND SENSING VI, 2006, 6094
  • [35] Real-time Monocular Ranging by Bayesian Triangulation
    Nakamura, Katsuyuki
    Ishigaki, Kazuma
    Ogata, Takehito
    Muramatsu, Shoji
    2013 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2013, : 1362 - 1367
  • [36] Target tracking via real-time adaptive correlation
    Stufflebeam, JL
    Remley, DM
    King, BA
    OPTICAL PATTERN RECOGNITION XIV, 2003, 5106 : 161 - 170
  • [37] Real-time heterodyne speckle pattern interferometry using the correlation image sensor
    Kimachi, Akira
    APPLIED OPTICS, 2010, 49 (35) : 6808 - 6815
  • [38] Real-time speckle image processing
    Todorovich, Elias
    Pra, Ana Lucia Dai
    Passoni, Lucia Isabel
    Vazquez, Martin
    Cozzolino, Ezequiel
    Ferrara, Fernando
    Bioul, Gery
    JOURNAL OF REAL-TIME IMAGE PROCESSING, 2016, 11 (03) : 535 - 545
  • [39] Real-time speckle image processing
    Elías Todorovich
    Ana Lucia Dai Pra
    Lucia Isabel Passoni
    Martín Vázquez
    Ezequiel Cozzolino
    Fernando Ferrara
    Gery Bioul
    Journal of Real-Time Image Processing, 2016, 11 : 535 - 545
  • [40] Real-time Speckle Imaging with the DKIST
    Beard, Andrew
    Woger, Friedrich
    Ferayorni, Andrew
    SOFTWARE AND CYBERINFRASTRUCTURE FOR ASTRONOMY VI, 2020, 11452