Acta Photonica Sinica, Volume. 53, Issue 11, 1112001(2024)
Speckle Image Deformation Measurement Method Based on Convolutional Neural Network UNet++
[1] W H PETERS, W F RANSON. Digital imaging techniques in experimental stress analysis. Optics Engineering, 21, 427-431(1982).
[2] D S ZHANG, M LUO, D D AROLA. Displacement/strain measurements using an optical microscope and digital image correlation. Optics Engineering, 45, 033605(2006).
[3] Jian LIAO, Hongmei ZHANG, Yang CHEN. Analysis of the shear wall failure process based on DIC method. Structural Engineers, 35, 83-90(2019).
[4] Y QI, Z ZOU, J XIAO, R LONG. Mapping the nonlinear crack tip deformation field in soft elastomer with a particle tracking method. Mechanics and Physics of Solids, 125, 326-346(2019).
[5] L N WHEELER, W ANDY TAKE, HOULTNA et al. Measurement of rail deflection on soft subgrades using DIC. Proceedings of the Institution of Civil Engineers-Geotechnical Engineering, 169, 383-398(2016).
[6] T YU, A L GYEKENYESI, P J SHULL et al. Damage detection of concrete masonry structures by enhancing deformation measurement using DIC, 980411(2016).
[7] Y KATZ, Z YOSIBASH. New insights on the proximal femur biomechanics using digital image correlation. Journal of Biomechanics, 101, 109599(2020).
[8] M A SUTTON, W J WOLTERS, W H PETERS et al. Determination of displacements using an improved digital correlation method. Image and Vision Computing, 1, 133-139(1983).
[9] S H LAN, Y GAO, X H XU et al. Error analysis of surface-distribution and non-deformation of fluorescent beads for the IC-GN 2 DVC algorithm. Optics and Lasers Engineering, 140, 106541(2021).
[10] F MENG, C CHEN, S HUI et al. Three-dimensional static optical coherence elastography based on inverse compositional Gauss–Newton digital volume correlation. Biophotonics, 12, e201800422(2019).
[11] G M HASSAN. Deformation measurement in the presence of discontinuities with digital image correlation: a review. Optics and Lasers Engineering, 137, 106394(2021).
[12] J SHUAI, J ZHAO, L LEI et al. Accelerate multi-thread path-dependent digital image correlation by minimizing thread competition for real-time deformation measurement. Optics and Lasers Engineering, 111, 98-107(2018).
[13] Y YUAN, Q ZHAN, C Y XIONG et al. Digital image correlation based on a fast convolution strategy. Optics and Lasers Engineering, 97, 52-61(2017).
[14] E KOROT, Z Y GUAN, D FERRAZ et al. Code-free deep learning for multi-modality medical image classification. Nature Machine Intelligence, 3, 288-298(2021).
[15] X W WU, D SAHOO, S C H HOI. Recent advances in deep learning for object detection. Neurocomputing, 396, 39-64(2020).
[16] C Y WANG, C M ZHONG. Adaptive feature pyramid networks for object detection. IEEE Access, 9, 107024-107032(2021).
[17] M PANTA, M HOQUE, M ABDELGUERFI et al. IterLUNet: deep learning architecture for pixel-wise crack detection in levee systems. IEEE Access, 11, 12249-12262(2023).
[18] T HUI, X TANG, CC LOY. Liteflownet: a lightweight convolutional neural network for optical flow estimation, 8981-8989(2018).
[19] H G MIN, H I ON, D J KANG et al. Strain measurement during tensile testing using deep learning-based digital image correlation. Measurement Science and Technology, 31, 015014(2019).
[20] S BOUKHTACHE, K ABDELOUAHAB, F BERRY et al. When deep learning meets digital image correlation. Optics and Lasers Engineering, 136, 106308(2021).
[21] A DOSOVITSKIY. FlowNet: learning optical flow with convolutional networks, 2758-2766(2015).
[22] R YANG, Y LI, D ZENG et al. Deep DIC: deep learning-based digital image correlation for end-to-end displacement and strain measurement. Journal of Material Processing Technology, 302, 117474(2022).
[23] Y WANG, J Q ZHAO. DIC-Net: upgrade the performance of traditional DIC with Hermite dataset and convolution neural network. Optics and Lasers Engineering, 160, 107278(2023).
[26] J ZHAO, Y SONG, X WU. Fast Hermite element method for smoothing and differentiating noisy displacement field in digital image correlation. Optics and Lasers in Engineering, 68, 25-34(2015).
[29] P L REU, E TOUSSAINT, E JONES et al. Simonsen.DIC challenge: developing images and guidelines for evaluating accuracy and resolution of 2D analyses. Experimental Mechanics, 58, 340-349(2018).
[30] P L REU, B BLAYSAT, E ANDÓ et al. DIC Challenge 2.0: developing images and guidelines for evaluating accuracy and resolution of 2D analyses. Experimental Mechanics, 62, 639-654(2022).
Get Citation
Copy Citation Text
Qiang CHEN, Junzhe LIANG, Jin LIANG. Speckle Image Deformation Measurement Method Based on Convolutional Neural Network UNet++[J]. Acta Photonica Sinica, 2024, 53(11): 1112001
Category: Instrumentation, Measurement and Metrology
Received: Apr. 12, 2024
Accepted: May. 24, 2024
Published Online: Jan. 8, 2025
The Author Email: LIANG Jin (liangjin@mail.edu.cn)