Real-time height measurement with a line-structured-light based imaging system

Chang, Hui; Li, Deyu; Zhang, Xiangyu; Cui, Xingchen; Fu, Zhichao; Chen, Xinyu; Song, Yongxin

doi:10.1016/j.sna.2024.115164

Sensors and Actuators A: Physical

2024

DOI: 10.1016/j.sna.2024.115164

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Real-time height measurement with a line-structured-light based imaging system

Hui Chang,

Deyu Li,

Xiangyu Zhang

et al.

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Cited by 3 publications

References 38 publications

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Underwater 3D measurement using sheet of light system with multi-layer refractive interface

Feng,

Wang,

Zhang

et al. 2025

Measurement

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Underwater 3D measurement using sheet of light system with multi-layer refractive interface

Feng,

Wang,

Zhang

et al. 2025

Measurement

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Research on calibration method for line-structured light sensor based on spatial quadratic surface fitting

Zhu,

Cheng,

et al. 2024

Meas. Sci. Technol.

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The calibration of the light plane serves as the fundamental prerequisite for accurate three-dimensional (3D) measurement using line-structured light sensor (LSLS). Aiming at the problem that the light plane projected by the line laser is not an ideal plane, this paper proposes an LSLS calibration method based on spatial quadratic surface fitting. In the LSLS measurement model, the standard conical quadratic surface equation is used to replace the plane equation in the traditional measurement model to solve the 3D coordinates of the light stripe. In the LSLS calibration process, the spatial standard conical quadratic surface fitting algorithm is also used to replace the traditional plane equation fitting method to achieve structural parameter calibration. The calibration experiment results based on general LSLS show that the calibration method described in this paper improves the fitting accuracy by 15.38% and the 3D measurement accuracy by 13.33% compared with the traditional calibration method based on light plane fitting. This not only provides a high-precision measurement solution for low-cost LSLS, but also enables its application in 3D measurements in the presence of lens refraction, where the improvement in accuracy may be even more significant.

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Detection of COVID-19: A Metaheuristic-Optimized Maximally Stable Extremal Regions Approach

García-Gutiérrez,

González,

Cuevas

et al. 2024

Symmetry

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The challenges associated with conventional methods of COVID-19 detection have prompted the exploration of alternative approaches, including the analysis of lung X-ray images. This paper introduces a novel algorithm designed to identify abnormalities in X-ray images indicative of COVID-19 by combining the maximally stable extremal regions (MSER) method with metaheuristic algorithms. The MSER method is efficient and effective under various adverse conditions, utilizing symmetry as a key property to detect regions despite changes in scaling or lighting. However, calibrating the MSER method is challenging. Our approach transforms this calibration into an optimization task, employing metaheuristic algorithms such as Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), Firefly (FF), and Genetic Algorithms (GA) to find the optimal parameters for MSER. By automating the calibration process through metaheuristic optimization, we overcome the primary disadvantage of the MSER method. This innovative combination enables precise detection of abnormal regions characteristic of COVID-19 without the need for extensive datasets of labeled training images, unlike deep learning methods. Our methodology was rigorously tested across multiple databases, and the detection quality was evaluated using various indices. The experimental results demonstrate the robust capability of our algorithm to support healthcare professionals in accurately detecting COVID-19, highlighting its significant potential and effectiveness as a practical and efficient alternative for medical diagnostics and precise image analysis.

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Real-time height measurement with a line-structured-light based imaging system

Cited by 3 publications

References 38 publications

Underwater 3D measurement using sheet of light system with multi-layer refractive interface

Underwater 3D measurement using sheet of light system with multi-layer refractive interface

Research on calibration method for line-structured light sensor based on spatial quadratic surface fitting

Detection of COVID-19: A Metaheuristic-Optimized Maximally Stable Extremal Regions Approach

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