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

A composite surface registration method for freeform surface evaluation based on ICP coarse registration and PSO fine registration 一种基于ICP粗配准和PSO精细配准的自由曲面评价复合配准方法

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2025-05-19 DOI: 10.1016/j.optlaseng.2025.109079

Yusheng Zang , Changsheng Li , Jiajun Tang , Zhaoxiang Chen , Jianjun Ding , Shuming Yang , Zhuangde Jiang

{"title":"A composite surface registration method for freeform surface evaluation based on ICP coarse registration and PSO fine registration","authors":"Yusheng Zang , Changsheng Li , Jiajun Tang , Zhaoxiang Chen , Jianjun Ding , Shuming Yang , Zhuangde Jiang","doi":"10.1016/j.optlaseng.2025.109079","DOIUrl":"10.1016/j.optlaseng.2025.109079","url":null,"abstract":"<div><div>The assessment of form error for freeform surfaces is crucial for ensuring the machining accuracy of optical components and performing potential subsequent error correction. Although the traditional iterative closest point (ICP) algorithm is widely used for surface registration due to its simplicity and broad applicability, it has limitations such as sensitivity to initial optimization positions, which seriously affect the accuracy of registration. For this reason, this paper proposes a composite surface registration method based on ICP for coarse registration and particle swarm optimization (PSO) for fine registration. First, the influence of six mounting errors on the form accuracy is discussed through error sensitivity analysis. Second, the characteristics of the ICP algorithm and the PSO algorithm in surface registration are comparatively analyzed in aspects of accuracy and efficiency. Finally, the composite registration method is successfully applied to the surface registration of the freeform surfaces. The results show that the composite registration method has achieved 88.4 % and 1.4 % decrease in registration error compared to the ICP algorithm when processing the freeform suction cup and silicon mirror, respectively. Additionally, the computational time is reduced by 40 % and 20 % compared to the PSO algorithm, respectively. Even when compared to advanced hybrid registration algorithms combining genetic algorithms (GA) and ICP algorithms, the proposed method in this paper still maintains advantages in terms of registration accuracy and efficiency.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"193 ","pages":"Article 109079"},"PeriodicalIF":3.5,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084037","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

Structural analyses of additively manufactured carbon fiber reinforced polymer with embedded fiber optic using THz spectroscopy and micro-computed tomography 利用太赫兹光谱和微计算机断层扫描技术对嵌入光纤的增材制造碳纤维增强聚合物进行结构分析

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2025-05-19 DOI: 10.1016/j.optlaseng.2025.109086

Magdalena Mieloszyk , Pawel Madejski , Sebastian Wroński , Isyna Izzal Muna

{"title":"Structural analyses of additively manufactured carbon fiber reinforced polymer with embedded fiber optic using THz spectroscopy and micro-computed tomography","authors":"Magdalena Mieloszyk , Pawel Madejski , Sebastian Wroński , Isyna Izzal Muna","doi":"10.1016/j.optlaseng.2025.109086","DOIUrl":"10.1016/j.optlaseng.2025.109086","url":null,"abstract":"<div><div>This study examines the internal structure of additively manufactured (AM) carbon fiber reinforced polymer (CFRP) composites embedded with fiber optics with fiber Bragg grating (FBG) sensors using THz spectroscopy and micro-computed tomography (micro-CT). Due to the high conductivity of carbon fiber, the application of THz spectroscopy to CFRP faces significant challenges, necessitating careful optimization of inspection parameters. Conversely, micro-CT leverages its deeper penetration capabilities and high-resolution imaging to provide accurate and detailed internal imaging of CFRP composites. THz spectroscopy detects the influence of embedded fiber optics on AM CFRP structure while micro-CT excels by producing detailed 3D representations of the internal structure, effectively identifying the fiber optic precise location. These findings highlight the importance of selecting appropriate non-destructive testing (NDT) methods based on the specific material properties, demonstrating that micro-CT is an invaluable complementary tool to THz spectroscopy to achieve thorough assessment of CFRP composites in materials science, medicine, and engineering.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"193 ","pages":"Article 109086"},"PeriodicalIF":3.5,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084097","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

Camera calibration based on hybrid differential evolution and crayfish optimization algorithm 基于混合差分进化和小龙虾优化算法的摄像机标定

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2025-05-19 DOI: 10.1016/j.optlaseng.2025.109088

Zhongqian Chen , Ming Yang , Jing Zhang , Mengjian Zhang , Chengbin Liang , Deguang Wang

{"title":"Camera calibration based on hybrid differential evolution and crayfish optimization algorithm","authors":"Zhongqian Chen , Ming Yang , Jing Zhang , Mengjian Zhang , Chengbin Liang , Deguang Wang","doi":"10.1016/j.optlaseng.2025.109088","DOIUrl":"10.1016/j.optlaseng.2025.109088","url":null,"abstract":"<div><div>This study proposes a hybrid differential evolution and crayfish optimization algorithm (HDECOA) for precise camera calibration. HDECOA synergizes differential evolution, enhanced by an adaptive parameter control strategy, with crayfish optimization algorithm within a parallel and competitive framework. The hybrid algorithm achieves an effective balance between exploration and exploitation by improving population diversity and optimizing evolutionary efficiency. Finally, HDECOA is applied to calibrate two cameras with distinct parameters. Experimental comparisons evaluate the mean reprojection error of the proposed method against those of methods employing crayfish optimization algorithm, particle swarm optimization, differential evolution, sparrow search algorithm, and Zhang's method. <em>K</em>-means cluster analysis is utilized to evaluate reprojection errors and relative reprojection errors are calculated under varying levels of Gaussian noise. The proposed method achieves mean reprojection errors of 0.054 pixels and 0.166 pixels for the two cameras, respectively. Comprehensive experimental results reveal rapid convergence, high accuracy, robust performance, and versatility of the proposed method, highlighting its superiority over the comparison methods.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"193 ","pages":"Article 109088"},"PeriodicalIF":3.5,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084098","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

Corrigendum to “Virtual line light source-based beam collimation for pulse-driven Gaussian-like VCSEL array emission” [Optics and Lasers in Engineering 190 (2025) 108970] “基于虚线光源的脉冲驱动类高斯VCSEL阵列发射光束准直”的勘误表[光学与激光工程190 (2025)108970]

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2025-05-19 DOI: 10.1016/j.optlaseng.2025.109004

Zihan Yi , Naerzhuoli Madeniyeti , Yinong Zeng , Xiao-Nan Tao , Aiming Ge , Hui Zhao , Jian Qiu , Kefu Liu , Connie Chang-Hasnain

引用次数: 0

Shape reconstruction from focus detection and signal classification using an optical microscope 利用光学显微镜对焦点检测和信号分类进行形状重建

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2025-05-19 DOI: 10.1016/j.optlaseng.2025.109080

Shaohang Wang

{"title":"Shape reconstruction from focus detection and signal classification using an optical microscope","authors":"Shaohang Wang","doi":"10.1016/j.optlaseng.2025.109080","DOIUrl":"10.1016/j.optlaseng.2025.109080","url":null,"abstract":"<div><div>Shape reconstruction from focus using a microscope is a cost-effective technique for restoring three-dimensional shapes, making it well-suited for high-precision measurement needs at microscopic scales. However, its effectiveness is limited by the variability of focus-measured signals and the alignment accuracy between corresponding image points. To address these limitations, a novel shape reconstruction method is proposed that integrates focus detection, the classification of focus-measured signals, and depth reconstruction. This method employs deep learning to categorize the geometric shapes of focus-measured signals, identify those characterized by noise, and perform depth reconstruction solely on the valid focus-measured signals that remain. Additionally, a straightforward calibration method for the posture angles of the vision-motion system is developed, ensuring that the reconstruction system produces aligned image sequences and is utilized alongside the proposed reconstruction method to achieve a high-quality depth map. Compared to conventional shape reconstruction methods that do not utilize the classification of focus-measured signals, the proposed method demonstrates significant advantages in reconstruction quality and accuracy. The results indicate that the proposed method achieves remarkable performance in signal classification, demonstrating an excellent ability to separate noise and minimize error in the depth map. This enables the generation of more accurate, high-quality depth maps. Moreover, the proposed method can learn and continuously improve its reconstruction performance through further training, effectively addressing the adverse effects of focus-measured signal variability on shape reconstruction. In summary, the proposed method not only creates high-quality depth maps for various precision measurements but also serves as the core technique for 3D digital microscopes.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"193 ","pages":"Article 109080"},"PeriodicalIF":3.5,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084095","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

Magnetic sensing with orientation identification based on multiple self-mixing interference 基于多重自混合干扰的定向磁传感

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2025-05-17 DOI: 10.1016/j.optlaseng.2025.109087

Shaokun Huo , Wu Sun , Zhenning Huang

引用次数: 0

UMIENet: Underwater image enhancement based on multi-degradation knowledge integration 基于多阶退化知识集成的水下图像增强

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2025-05-16 DOI: 10.1016/j.optlaseng.2025.109069

Pin Lv , Fusheng Zha , Xiangji Wang , Rongchao Li , Mantian Li , Pengfei Wang , Wei Guo , Lining Sun

{"title":"UMIENet: Underwater image enhancement based on multi-degradation knowledge integration","authors":"Pin Lv , Fusheng Zha , Xiangji Wang , Rongchao Li , Mantian Li , Pengfei Wang , Wei Guo , Lining Sun","doi":"10.1016/j.optlaseng.2025.109069","DOIUrl":"10.1016/j.optlaseng.2025.109069","url":null,"abstract":"<div><div>Due to the absorption and scattering effects of water on light, underwater images generally suffer from multiple degradations such as blur, color cast, and non-uniform illumination, which severely affect image quality and visual processing tasks. Therefore, underwater image enhancement (UIE) has gained widespread application in various marine exploration tasks. While supervised learning-based methods currently dominate this field, existing methods have two main problems. The limited availability of real paired images and the incompleteness of the degradation types of synthetic datasets restricts the model training performance, and most UIE models are designed for specific types of degradation, lacking systematic processing of multiple underwater degradations. These problems lead to poor model performance. In this work, we construct an Underwater Multi-Degradation Knowledge Integration dataset, called UMDKI, it models multiple degradation factors including blur, color cast, and non-uniform illumination by incorporating a revised image formation model and point light mathematical modeling. Besides, we propose an Underwater Multi-degradation Image Enhancement Network, called UMIENet, it integrates the advantages of various traditional methods and achieves collaborative enhancement of multiple degradations. Extensive experiments demonstrate that the proposed UMIENet achieves excellent performance on multiple benchmarks and shows good effectiveness in real underwater vision tasks.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"193 ","pages":"Article 109069"},"PeriodicalIF":3.5,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069711","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

Single-shot intensity-based measurement of high-order OAM in partially coherent vortex beams 部分相干涡旋光束中高阶OAM的单次强度测量

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2025-05-16 DOI: 10.1016/j.optlaseng.2025.109085

Zhao Zhang , Yuanbo Wu , Xin Liu , Zhiwen Yan , Xinshun Zhao , Dong Xu , Greg Gbur , Bernhard J. Hoenders , Yangjian Cai , Jun Zeng

引用次数: 0

High-contrast autofocusing in modified circular symmetric Airy beams via Fourier phase modulation 基于傅立叶相位调制的改进圆形对称艾里光束的高对比度自动聚焦

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2025-05-16 DOI: 10.1016/j.optlaseng.2025.109073

Bingsong Cao , Zhangrong Mei , Yonghua Mao , Jinqi Song , Kaikai Huang

引用次数: 0

Realistic blur layer-based computer-generated holography 现实模糊层为基础的计算机生成全息

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2025-05-15 DOI: 10.1016/j.optlaseng.2025.109081

Zichun Le, Aoxin Fei, Xiangrui Duan, Shun Li

引用次数: 0