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2024 International Conference on optical and Photonic Engineering, icOPEN 2024

作者： Liao, Tongxin Gao, Zeren Fu, Yu Shenzhen Key Laboratory of Intelligent Optical Measurement and Detection State Key Laboratory of Radio Frequency Heterogeneous Integration College of Physics and Optoelectronic Engineering Shenzhen University 3688 Nanhai Avenue Shenzhen518060 China

ISBN: (数字)9781510688117

ISBN: (纸本)9781510688100

Abnormal blood supply is closely related to the occurrence and development of various diseases, such as cerebral infarction, varicose veins, and vascular tumors. Real-time quantitative detection of full-field blood flow changes in the lesion area is of great scientific and clinical significance for early diagnosis, intraoperative monitoring, and postoperative follow-up of related diseases. Existing blood flow imaging technologies such as magnetic resonance imaging (MRI), positron emission tomography (PET), laser doppler imaging (LDI), and optical coherence tomography (OCT), each possess unique advantages but also inherent constraints, hindering the simultaneous achievement of spatial and temporal resolution, real-time capability, and quantitative analysis. In this paper, we introduce a laser speckle blood flow imaging approach utilizing event cameras, which builds upon speckle metrology technology and capitalizes on the asynchronous response, high temporal resolution, and high dynamic range of event cameras. This method enables real-time blood flow imaging and velocity measurements. To verify the feasibility of the proposed method, we conducted experimental comparative research using simulated blood flow and mice as test subjects, benchmarking it against traditional laser speckle contrast imaging (LSCI) techniques. © 2025 SPIE.

关键词： Positron emission tomography

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In-plane rotation-displacement cooperative-relay videometric method of long structures

In-plane rotation-displacement cooperative-relay videometric...

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2024 International Conference on optical and Photonic Engineering, icOPEN 2024

作者： Liu, Lihao Yin, Yihe Chen, Wenjun Hu, Biao Liu, Xiaolin Yu, Qifeng Shenzhen Key Laboratory of Intelligent Optical Measurement and Detection Shenzhen University Shenzhen Guangdong518060 China College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen Guangdong518060 China Shenzhen Guangdong518060 China

ISBN: (数字)9781510688117

ISBN: (纸本)9781510688100

Structural vertical displacement, lateral displacement, and torsional deformation are important indicators for the health monitoring of long linear engineering structures such as bridges and tunnels, but there is currently a lack of practical engineering monitoring methods and technologies for multi-parameter collaborative measurement. In this paper, an in-plane rotation-angle-relay videometric model for torsional deformation of long structures is first established based on the perspective projection. Furthermore, a new method of serial camera network videometric for collaborative relay of in-plane rotation angle and displacement of long structures is proposed by using an optical target that fuses point and line feature information and combining it with the classic displacement-relay videometric method. The effectiveness and engineering practicality of the proposed method were verified through simulation experiments and laboratory-scale physical experiments. The experimental results show that the method proposed in this paper can achieve the angular minutes-grade (1.44 angular minutes) measurement of the torsional deformation of long structures, even when the measurement platform itself is unstable. In addition, the measurement results of vertical and lateral displacements can be corrected for the influence of platform shaking, with a correction effect of up to 86.75%. This validates the high-precision measurement of displacement and rotation angle that can be achieved with the proposed method even when there is shaking of the measurement platform, demonstrating strong potential for engineering practicality. © 2025 SPIE.

关键词： Displacement measurement

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Bending strain measurement of flexible screen display layer based on digital image correlation

Bending strain measurement of flexible screen display layer ...

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2024 International Conference on optical and Photonic Engineering, icOPEN 2024

作者： Wu, Haipan Gao, Zeren Wei, Yuchen Chen, Zihong Fu, Yu Shenzhen Key Laboratory of Intelligent Optical Measurement and Detection College of Physics and Opto-electronic Engineering Shenzhen University China State Key Laboratory of Radio Frequency Heterogeneous Integration Shenzhen University 3688 Nanhai Avenue Shenzhen518060 China

ISBN: (数字)9781510688117

ISBN: (纸本)9781510688100

Flexible screens consist of various layered structures, including a protective layer and a display layer. The display layer with limited deformation ability is expected to be in the neutral layer to minimize stress during folding. Ideally, the display layer with limited deformation capacity should reside in the strain neutral surface to minimize stress during folding. Current research predominantly focuses on measuring surface deformation, which fails to accurately capture the actual deformation of the display layer during bending. It is essential to study the deformation field of the display layer under bending conditions. This paper proposes a method for measuring the bending deformation of flexible screens using Digital Image Correlation (DIC). The proposed method combines displaying speckles on the screen with spraying speckles outside the screen, enabling concurrent measurement of both the display layer and protective layer of the flexible screen. The experimental results demonstrate that there exists a significant difference in the strain distribution between the display layer and the protective layer of the screen under various bending angles. This paper provides a new experimental tool for non-destructive testing, design parameters optimization, and manufacturing processes improvement for foldable screens. © 2025 SPIE.

关键词： Strain measurement

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A method for measuring urban road subsidence based on optical images

A method for measuring urban road subsidence based on optica...

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2024 International Conference on optical and Photonic Engineering, icOPEN 2024

作者： Su, Junjie Yin, Yihe Liu, Lihao Hu, Biao Liu, Xiaolin Yu, Qifeng Shenzhen Key Laboratory of Intelligent Optical Measurement and Detection Shenzhen University Shenzhen Guangdong518060 China College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen Guangdong518060 China Shenzhen Guangdong518060 China

ISBN: (数字)9781510688117

ISBN: (纸本)9781510688100

Urban road settlement is one of the key indicators for its safety warning. In the project, the road settlement observation point consists of a hollow cylindrical protective sleeve and a settlement rod on the center axis of the cylinder. This paper proposes an urban road settlement measurement method based on optical images. Firstly, the ellipse detection algorithm is used to identify the circular orifice features of the settlement monitoring point, and the angle between the camera and the road surface is recovered by the pixel size information of the ellipse long and short axes;secondly, the template matching algorithm is used to sub-pixel locate the diagonal features at the top of the settlement bar;finally, the settlement measurement model is established. On this basis, an urban road settlement measurement application (Easy-to-Go) based on Android platform was developed. The experimental results show that the measurement accuracy of the proposed method is better than 1mm, which meets the engineering measurement requirements. The research results of this paper can provide a convenient, low-cost and reasonable accuracy new method for road settlement measurement. © 2025 SPIE.

关键词： Template matching

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A visual recognition method for structural deformation and foreign objects in operational subway tunnels

A visual recognition method for structural deformation and f...

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2024 International Conference on optical and Photonic Engineering, icOPEN 2024

作者： Bai, Wenfeng Zhao, Ru Lin, Liangdai Luo, Haitao Liu, Zhifeng Sun, Dianjun Zhang, Qiang Chen, Wenjun Hu, Biao Guangzhou Metro Design and Research Institute Co. Ltd. Guangzhou510010 China Shenzhen Key Laboratory of intelligent Optical Measurement and Detection Shenzhen University Shenzhen518000 China College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen518060 China

ISBN: (数字)9781510688117

ISBN: (纸本)9781510688100

With the development of urban underground spaces, ensuring the safety of operational subway tunnels poses significant challenges. Among these challenges, tunnel structural deformation and foreign object detection are crucial components of safety protection. Visual measurement offers specific advantages such as non-contact operation, all-weather functionality, high precision, and real-time dynamics. This paper proposes a method based on computer vision for detecting structural deformation and foreign objects in operational subway tunnels. Firstly, current tunnel morphology data is obtained through monitoring cameras. Then, digital image processing techniques such as image denoising, feature segmentation, sub-pixel positioning, filtering, and displacement calculation are applied. By comparing the processed sequential data, deformation data such as subsidence changes and horizontal changes are obtained, and the presence of foreign objects is determined. Experimental results indicate that the proposed method can simultaneously identify tunnel structural deformation and foreign object intrusion. This addresses the limitations of existing technologies, which have singular monitoring functions and incomplete tunnel health assessment systems, thereby ensuring the safety of subway operations. © 2025 SPIE.

关键词： Image segmentation

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Scoliosis detection method based on fringe projection profilometry and deep learning

Scoliosis detection method based on fringe projection profil...

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2024 International Conference on optical and Photonic Engineering, icOPEN 2024

作者： Wang, Meng He, Dong Xu, Shaolei Tang, Qijian Peng, Xiang Liu, Xiaoli State Key Laboratory of Radio Frequency Heterogeneous Integration College of Physics and Optoelectronic Engineering Shenzhen University Guangdong China Key Laboratory of Intelligent Optical Measurement and Detection of Shenzhen Shenzhen Institute of Information Technology Shenzhen Guangdong China School of Sino-German Robotics Shenzhen Institute of Information Technology Shenzhen Guangdong China

ISBN: (数字)9781510688117

ISBN: (纸本)9781510688100

In this paper, a fringe projection profilometry (FPP) system for three-dimensional (3D) imaging of the human back is proposed to assess scoliosis, which has developed into one of the top four health concerns affecting adolescents. The FPP system includes a binocular stereo vision system and an infrared projector, with a Field Programmable Gate Array (FPGA) based synchronization control system enabling a 240Hz acquisition frame rate. This high frame rate mitigates the impact of involuntary body movement on 3D image quality. Various features can be extracted from the generated 3D model of the back for quantitative postural assessment. Specifically, a deep learning approach is employed to analyze the extracted trunk rotation angle curve for scoliosis detection. Experimental results demonstrate a correlation between this method and X-ray detection, offering a promising exploratory approach to reduce reliance on X-ray imaging in scoliosis monitoring. © 2025 SPIE.

关键词： Stereo image processing

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Vision-based self-calibrating measurement method for structural settlement using gravity balance

Vision-based self-calibrating measurement method for structu...

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2024 International Conference on optical and Photonic Engineering, icOPEN 2024

作者： Zhang, Jian Hu, Biao Tan, Xiao Dai, Mingjing Zeng, Ming Chen, Wenjun Yin, Yihe Liu, Xiaolin Yu, Qifeng Shenzhen Key Laboratory of Intelligent Optical Measurement and Detection Shenzhen University Shenzhen518000 China College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen518060 China Shenzhen University Shenzhen518000 China Yichang Yangtze River Bridge Construction and Operation Group Co. Ltd Yichang443000 China

ISBN: (数字)9781510688117

ISBN: (纸本)9781510688100

Structural settlement is one of the most critical indicators in structural health monitoring. In long-term vision-based measurement, the stability of the observation platform is a major bottleneck limiting its application. Due to the optical lever effect, a slight angular change in the camera during long-distance measurements can result in significant errors, even leading to measurement failures. This paper proposes a vision-based self-calibrating measurement method using gravity balance for field applications. In this method, the main camera, sub-camera, and a plumb line are rigidly connected. The sub-camera tracks the plumb line to obtain the angular changes of the main camera. The rigid connection between the main and sub-cameras is used for angle compensation, enabling self-calibrating measurements on unstable observation platforms. Experimental results demonstrate the accuracy and effectiveness of the proposed method. This method has the potential to extend the application of visual measurement in monitoring large-scale engineering structural deformations. © 2025 SPIE.

关键词： Settlement of structures

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Sub-pixel detection and localization of circular diagonal markers in complex field imaging environments

Sub-pixel detection and localization of circular diagonal ma...

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2024 International Conference on optical and Photonic Engineering, icOPEN 2024

作者： Cai, Yiqiu Liu, Xiaolin Li, Zhiqiang Hu, Biao Chen, Wenjun Yin, Yihe Yu, Qifeng Shenzhen Key Laboratory of Intelligent Optical Measurement and Detection Shenzhen University Shenzhen Guangdong518060 China College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen Guangdong518060 China Shenzhen University Shenzhen Guangdong518060 China Yichang Changjiang Highway Bridge Construction Development Company Yichang Hubei443000 China

ISBN: (数字)9781510688117

ISBN: (纸本)9781510688100

The accuracy of image feature location is one of the key factors affecting the accuracy of optical measurement. Circular diagonal markers are commonly used cooperative features in optical measurement. In complex field imaging environments, factors such as spatial illumination, environmental noise, and camera shaking will cause problems such as uneven brightness, incomplete, overlap, and image blur, which will affect the locating accuracy of markers. To solve the above problems, this paper proposes a sub-pixel detection and localization method for circular diagonal markers in complex field environments. Firstly, the double-platform histogram equalization is used to enhance the image to solve the uneven brightness phenomenon. Then, Hough circle detection is used to define regions of interest around circular markers. Subsequently, a combination of multi-scale and multi-target template matching and surface fitting extremum methods is utilized to achieve high-precision sub-pixel detection and localization of markers, even when they are incomplete, occluded, or blurred. The experimental results show that the proposed method can accurately locate all circular diagonal markers in complex field environment. Compared with the existing methods, the proposed method has more accurate localization precision and has the advantages of automation, strong robustness and wide applicability. © 2025 SPIE.

关键词： Template matching

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Light field reconstruction and measurement based on focal stack

Light field reconstruction and measurement based on focal st...

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2024 International Conference on optical and Photonic Engineering, icOPEN 2024

作者： Zhang, Zhiting Gu, Wanyu Cai, Zewei Liu, Xiaoli Peng, Xiang Key Laboratory of Optoelectronic Devices and Systems Ministry of Education and Guangdong Province College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen Guangdong China Key Laboratory of Intelligent Optical Measurement and Detection of Shenzhen College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen Guangdong China Shenzhen Zhongting United Technology Co. Ltd. Shenzhen Guangdong China Shenzhen International Graduate School Tsinghua University Shenzhen Guangdong China

ISBN: (数字)9781510688117

ISBN: (纸本)9781510688100

In this paper, we present a consistency analysis for focal stack-based light field reconstruction. A pre-calibrated light field camera is used to construct the metric mapping relationship in image-object space and the reference light field, based on which light fields are reconstructed and quantitatively analyzed. Sequentially, a consistent light field reconstruction method is proposed. Image-object space transformation is established through camera calibration and image distortion is corrected simultaneously in the focal scanning space. The image stack can then be uniformly converted from image space to object space for consistent light field reconstruction, which can finally realize depth measurement in the focal scanning space. © 2025 SPIE.

关键词： Cameras

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Frequency-modulated continuous-wave quantum interferometric lidar with enhanced accuracy and resolution

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Physical Review Applied 2025年第3期23卷 034055-034055页

作者： Ming-Da Huang Zhan-Feng Jiang Hong-Yi Chen Ying Zuo Xiao-Peng Hu Hai-Dong Yuan Li-Jian Zhang Qi Qin College of Physics and Optical Engineering Shenzhen University Shenzhen 518060 China State Key Laboratory of Radio Frequency Heterogeneous Integration Shenzhen University Shenzhen 518060 China Institute of Intelligent Optical Measurement and Detection Shenzhen University Shenzhen 518060 China Shenzhen Institute for Quantum Science and Engineering Southern University of Science and Technology Shenzhen 518055 China International Quantum Academy Shenzhen 518048 China Guangdong Provincial Key Laboratory of Quantum Science and Engineering Southern University of Science and Technology Shenzhen 518055 China National Laboratory of Solid State Microstructures and College of Engineering and Applied Sciences Nanjing University Nanjing 210093 China Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Shatin Hong Kong SAR China Quantum Science Center of Guangdong-HongKong-Macao Greater Bay Area (Guangdong) Shenzhen 518045 China

The range and velocity of a moving object can be ascertained using the sensing technique known as light detection and ranging (lidar). It has recently been suggested that quantum lidar, which uses entangled states of light, can enhance the capabilities of lidar. Entangled pulsed light is used in prior quantum lidar approaches to assess both range and velocity at the same time using the time of flight and Doppler shift. However, the detection of entangled pulsed light is often inefficient and constrained by the temporal resolution of the detectors. Here, we investigate a quantum lidar utilizing a linear interferometer operating on a frequency-modulated continuous wave (FMCW) instead of pulses. Our findings demonstrate that the quantum FMCW lidar enables simultaneous measurements of range and velocity with quantum-enhanced accuracy and resolution, as well as superresolution phase imaging. Through self-heterodyne detection with a linear optical design, the signals of the quantum FMCW lidar with entangled photon pair can be efficiently carried out electronically by down-converting the optical signal to the microwave region. As a result, it is better suited for practical implementations.

关键词： Frequency modulation

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