Optics and Lasers in Engineering最新文献_第8页

Four-spot light-intensity based demodulation method for orbital-angular-momentum interferometer 基于四点光强的轨道角动量干涉仪解调方法

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2025-06-21 DOI: 10.1016/j.optlaseng.2025.109180

Zhenyu Ma , Huali Lu , Jiayang Xu , Ling Deng , Changcheng Sun , Ming Gao , Hua Zhao , Hui Hao

{"title":"Four-spot light-intensity based demodulation method for orbital-angular-momentum interferometer","authors":"Zhenyu Ma , Huali Lu , Jiayang Xu , Ling Deng , Changcheng Sun , Ming Gao , Hua Zhao , Hui Hao","doi":"10.1016/j.optlaseng.2025.109180","DOIUrl":"10.1016/j.optlaseng.2025.109180","url":null,"abstract":"<div><div>Recently, orbital-angular-momentum (OAM) beams-based interferometers (OAMIs) have been demonstrated significant potential in achieving ultra-high accuracy. However, the demodulation speed of traditional interferograms-based demodulation methods for OAMIs has always been limited by the interferogram acquisition devices and demodulation algorithms. To address these challenges, a demodulation method for OAMI using the four-spot light-intensity (FSLI) signals was firstly put forward and demonstrated in experiment. By using a 1-to-7 fan-out bundles, these FSLI signals at the fixed azimuthal positions on petal-like interference patterns (interferograms) were detected and precisely sampled using photodetectors-based acquisition devices. Then, a random four-step azimuthal phase-shifting algorithm was firstly proposed to quickly demodulate the measured phases from these signals. As a result, linear motions and periodic vibrations were precisely reconstructed. ‌This method greatly improves the demodulation speed of OAMIs, which opens a new way in the field of dynamic measurement using OAMIs.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"194 ","pages":"Article 109180"},"PeriodicalIF":3.5,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Geometric distortion correction of oblique incidence laser interferometer system for helical surface topography measurement 斜入射激光干涉仪测量螺旋表面形貌的几何畸变校正

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2025-06-21 DOI: 10.1016/j.optlaseng.2025.109175

Jinjing Zhang , Liping Lian , Pengcheng Yang , Mingyan Sun , Yin Zhang , Yuan Xiao

{"title":"Geometric distortion correction of oblique incidence laser interferometer system for helical surface topography measurement","authors":"Jinjing Zhang , Liping Lian , Pengcheng Yang , Mingyan Sun , Yin Zhang , Yuan Xiao","doi":"10.1016/j.optlaseng.2025.109175","DOIUrl":"10.1016/j.optlaseng.2025.109175","url":null,"abstract":"<div><div>When laser interferometry is applied to measure the topography of the helical surface, the interferogram is the only carrier of the measured morphology, and its quality is crucial for the measurement results. Due to the influence of many factors in actual measurement, the interferogram inevitably has geometric distortion, which leads to difficulty in subsequent image processing and even measurement failure. This paper proposes a comprehensive correction method for geometric distortion in the interferograms. Firstly, the sources of geometric distortion in the interferogram are analyzed, including geometric distortion from the measurement optical path and the optical component error. Secondly, a correction model is established combining the effects of component pose errors and lens distortion on the measurement results, and a six-parameter iterative algorithm is proposed to solve the optimal parameters of the model. Finally, the experiments are designed to verify that the corrected interferograms are closer to the standard images, which proves the feasibility of the proposed correction method.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"194 ","pages":"Article 109175"},"PeriodicalIF":3.5,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Phase retrieval in speckle pattern interferometry under vibrational environments 振动环境下散斑干涉测量的相位恢复

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2025-06-20 DOI: 10.1016/j.optlaseng.2025.109172

Peizheng Yan , Yonghong Wang , Mohan Ding , Xiangwei Liu

引用次数: 0

A spatio-temporal fusion method for non-destructive testing using infrared thermography 红外热成像无损检测的时空融合方法

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2025-06-19 DOI: 10.1016/j.optlaseng.2025.109133

Xiaofu Huang , Xingyu Hou , Puxiang Wang , Dong Zhao , Jian Zhao , Hongye Zhang , Zhanwei Liu , Xianfu Huang

{"title":"A spatio-temporal fusion method for non-destructive testing using infrared thermography","authors":"Xiaofu Huang , Xingyu Hou , Puxiang Wang , Dong Zhao , Jian Zhao , Hongye Zhang , Zhanwei Liu , Xianfu Huang","doi":"10.1016/j.optlaseng.2025.109133","DOIUrl":"10.1016/j.optlaseng.2025.109133","url":null,"abstract":"<div><div>The infrared thermography, as a non-contact and highly sensitive non-destructive testing (NDT) method, has been extensively applied in various fields such as aerospace, construction, and industrial manufacturing industry. Current post-processing of dynamic thermal sequences relies mainly on thermal images’ spatial information without incorporating temporal data, compromising defect detection accuracy and efficiency. To address this challenge, we propose a spatio-temporal fusion thermography (STFT) method that enables high-precision of surface defects detection. The method primarily establishes a theoretical model by integrating spatial and temporal gradient information from dynamic thermal sequences, with thermal propagation being estimated using optical flow method. The verification experiment on metal surface defects indicates that the STFT method is capable of reliably detecting surface microcracks as small as 3 μm in width. And it can effectively eliminate the impact of uneven temperature distribution on the test specimens and significantly improves the signal-to-noise ratio (SNR) of the defect images. The proposed method holds great potential for broad application in the field of industrial non-destructive testing, such as detecting surface or near surfac cracks and pitting defects in gears.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"194 ","pages":"Article 109133"},"PeriodicalIF":3.5,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144321604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multiview sparsity quantification based class-manifold orthogonalization method for holography particle field characterization 基于多视点稀疏量化的类流形正交化全息粒子场表征方法

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2025-06-19 DOI: 10.1016/j.optlaseng.2025.109170

Zijun Zhao , Yu Zhao , Kaihang Zheng , Jinhong Liu , Lijun Bao

{"title":"Multiview sparsity quantification based class-manifold orthogonalization method for holography particle field characterization","authors":"Zijun Zhao , Yu Zhao , Kaihang Zheng , Jinhong Liu , Lijun Bao","doi":"10.1016/j.optlaseng.2025.109170","DOIUrl":"10.1016/j.optlaseng.2025.109170","url":null,"abstract":"<div><div>In the study of high-speed particle fields analysis and characterization, the entire dynamic process is typically split into parts for description, with significant differences in particle density, size, velocity, and shape across different breakup regions. Digital holography, avoiding the cumbersome chemical processing and capturing instantaneous dynamics with high resolution and precision, has been widely used for high-speed particle field characterization. Currently, two primary approaches are normally employed for particle characterization: extended-focus-image and reconstructed 3D data slices. The former struggles with accurate segmentation under significant interference, while the latter meets challenges of low computational efficiency in particle fields with fewer particle existence. Moreover, practically existed class imbalance phenomenon caused by size differences and irregular shapes also severely impacts characterization accuracy. To address these issues, we propose the Multiview Sparsity Quantification based Class-manifold Orthogonalization (MSCO) method, featuring a two-step framework. In the first step, the Multi-view Sparsity Quantification Network (MSQNet) employs dimensionality reduction to extract particle-contained regions. The Grouped Feature Orthogonal Network (GFONet) in the second step locates the focal layers and morphologically characterizes particles using feature reorganization and grouped feature orthogonalization. The method is evaluated on four kinds of particle field data. Experimental results demonstrate that our proposed method outperforms existing algorithms in terms of computational time consumption, recall rate, segmentation accuracy, and generalization capability in high-density particle fields.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"194 ","pages":"Article 109170"},"PeriodicalIF":3.5,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144314329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Full-stokes image restoration method based on large-scale sub-pixel segmentation 基于大规模亚像素分割的Full-stokes图像恢复方法

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2025-06-19 DOI: 10.1016/j.optlaseng.2025.109174

Yuwen Hu , Chengshuo Jiang , Jiongwei Li , Lishuang Yao , Shiyuan Zhang

引用次数: 0

Multiframe stacked integration for high-fidelity single-pixel imaging via weighted fractional-order Hermite-Gaussian modulation 基于加权分数阶厄米-高斯调制的高保真单像素成像多帧叠加集成

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2025-06-19 DOI: 10.1016/j.optlaseng.2025.109165

Guancheng Huang , Yong Shuai , Zhengjun Liu , Yu Ji , Qi Li , Xuyang Zhou , Ziyang Li , Ziling Qiao , Yiran Wang , Shutian Liu , Yutong Li

{"title":"Multiframe stacked integration for high-fidelity single-pixel imaging via weighted fractional-order Hermite-Gaussian modulation","authors":"Guancheng Huang , Yong Shuai , Zhengjun Liu , Yu Ji , Qi Li , Xuyang Zhou , Ziyang Li , Ziling Qiao , Yiran Wang , Shutian Liu , Yutong Li","doi":"10.1016/j.optlaseng.2025.109165","DOIUrl":"10.1016/j.optlaseng.2025.109165","url":null,"abstract":"<div><div>Conventional modulation schemes in single-pixel imaging (SPI) are hindered by suboptimal encoding efficiency and inherent optical mismatches, ultimately impeding imaging resolution and fidelity. This work presents an advanced modulation framework leveraging fractional-order Hermite-Gaussian (FrHG) bases for precise light-field encoding. Imaging reconstruction is achieved via dual-difference correlations between photon fluctuations and modulated fields. To counteract quantization artifacts, pixel-weighted preprocessing informed by error priors ensures accurate spatial correspondence. By enabling precise registration of multiframe fractional reconstructions through partitioned stacking scan, a Bayesian-based feature fusion strategy further refines global detail, robustly delivering artifact-free spatial contrast. Experiments across diverse microscopic scenarios including textured tissue, demonstrate the superior performance of proposed method. This approach is compatible with various SPI hardware architectures, holding promise as an adaptable, high-resolution solution applicable to non-visible and low-light microscopy.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"194 ","pages":"Article 109165"},"PeriodicalIF":3.5,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144321946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

3D non-destructive observation of thermal diffusion coefficient in optical fibers 光纤中热扩散系数的三维无损观测

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2025-06-18 DOI: 10.1016/j.optlaseng.2025.109162

Chao Wang , Li Pei , Jianshuai Wang , Qian He , Zhouyi Hu , Bing Bai , Tigang Ning

引用次数: 0

Multi-wavelength laparoscopic fluorescence imaging with single-pixel detectors 多波长腹腔镜荧光成像与单像素探测器

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2025-06-17 DOI: 10.1016/j.optlaseng.2025.109123

Yue Ran , Xu Yang , Wenjie Jiang , Wei Zhou , Baoteng Xu , Jialin Liu , Baoqing Sun , Xibin Yang

{"title":"Multi-wavelength laparoscopic fluorescence imaging with single-pixel detectors","authors":"Yue Ran , Xu Yang , Wenjie Jiang , Wei Zhou , Baoteng Xu , Jialin Liu , Baoqing Sun , Xibin Yang","doi":"10.1016/j.optlaseng.2025.109123","DOIUrl":"10.1016/j.optlaseng.2025.109123","url":null,"abstract":"<div><div>Fluorescence laparoscopy plays a crucial role in minimally invasive surgery. For in vivo fluorescence imaging, the exploration of longer wavelengths is a key strategy to mitigate biological tissue scattering and achieve deeper imaging penetration. However, array cameras commonly employed in laparoscopy are often expensive, structurally complex, and challenging for cross-band imaging, which significantly constrains the application and advancement of long-wavelength fluorescence in laparoscopy. In contrast, the single-pixel camera, which is not limited by band constraints, offers the potential for full-band imaging at a lower cost. Furthermore, their robust low-light imaging capabilities render them well-suited for fluorescence-based applications. This paper firstly presents the development of a novel single-pixel laparoscopic endoscopic imaging system (SPLEI). The SPLEI system successfully achieves color and fluorescence imaging across both visible and near-infrared wavelengths. Experimental results, including imaging of live rabbits and biological samples, demonstrate the feasibility of the SPLEI system. This work proposes a promising solution for long-wavelength fluorescence laparoscopy, capable of enhancing surgical precision, reducing surgical risks, improving minimally invasive outcomes, and expanding application scope, holding significant clinical and research value.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"194 ","pages":"Article 109123"},"PeriodicalIF":3.5,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144298733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Robust white light algorithm for scanning error compensation 鲁棒白光扫描误差补偿算法

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2025-06-17 DOI: 10.1016/j.optlaseng.2025.109160

Yulan Chen , Sizepeng Zhao , Anqi Liu , Wenxi Zhang , Yiwei Hao

引用次数: 0