Optics and Lasers in Engineering最新文献_第2页

The reconstruction and defects detection of fiber pack

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2024-11-25 DOI: 10.1016/j.optlaseng.2024.108719

Tengyin Shi , Zhuo Zhang , Yaohui Xue , Jingze Lv , Yiqun Zhang

{"title":"The reconstruction and defects detection of fiber pack","authors":"Tengyin Shi , Zhuo Zhang , Yaohui Xue , Jingze Lv , Yiqun Zhang","doi":"10.1016/j.optlaseng.2024.108719","DOIUrl":"10.1016/j.optlaseng.2024.108719","url":null,"abstract":"<div><div>Fiber optic guidance technology is a crucial approach for weapon teleoperation. However, the reliable release of ultra-long-distance guidance fiber through tight winding has always posed a technical challenge that hinders its development. The winding and forming process of the guidance fiber pack often leads to various structural defects, significantly compromising its release reliability. Therefore, it is imperative to address geometric reconstruction and defect detection within the internal structure of formed fiber packs. In this study, an innovative approach is proposed utilizing industrial computerized tomography (CT) technology for precise geometric reconstruction and nondestructive defect detection in guidance fiber packs. The method initially acquires visualization data of the fiber pack through industrial CT scanning, followed by precise extraction of the fiber's cross-section centroid using image digitization techniques. Subsequently, an innovative algorithm based on centroid distance is developed for point determination, enabling the identification and connection of correlated centroid points to construct a geometric reconstruction model of the actual internal structure of the fiber pack for the first time. Finally, the geometric features of various typical structural defects are defined, and based on these features, the detection, identification, and location of the defects of the fiber pack structure are realized. Experimental results demonstrate that this method exhibits high accuracy and sensitivity, providing robust support for further advancements in fiber optic guidance technology.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"185 ","pages":"Article 108719"},"PeriodicalIF":3.5,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747791","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

Accurately differentiating inflamed and healthy tissue samples by removing errors and noises in depth-resolved polarization parameter images

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2024-11-25 DOI: 10.1016/j.optlaseng.2024.108717

Ran Li, Wanrong Gao

引用次数: 0

Optimized galvanometric illumination for terahertz full-field imaging and computed tomography

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2024-11-25 DOI: 10.1016/j.optlaseng.2024.108714

Ran Ning , Dayong Wang , Yuzhe Zhang , Lu Rong , Yushi Zheng , Guangyan Guo , Shufeng Lin , Jie Zhao , Yunxin Wang , Min Wan

{"title":"Optimized galvanometric illumination for terahertz full-field imaging and computed tomography","authors":"Ran Ning , Dayong Wang , Yuzhe Zhang , Lu Rong , Yushi Zheng , Guangyan Guo , Shufeng Lin , Jie Zhao , Yunxin Wang , Min Wan","doi":"10.1016/j.optlaseng.2024.108714","DOIUrl":"10.1016/j.optlaseng.2024.108714","url":null,"abstract":"<div><div>The pursuit of high-resolution, high-fidelity, real-time imaging is receiving significant attention in terahertz community. In this study, a versatile illumination approach based on a double-mirror galvanometer is proposed and optimized for multiple terahertz imaging approaches. We analyzed the mechanism of galvanometric illumination and elucidated two main factors affecting its homogeneity and parallelism properties. In our module, the terahertz beam is deflected rapidly by the galvanometer which is driven by triangular voltage signals, and then focused by a self-designed aspherical <em>f</em>-<em>θ</em> lens to illuminate the object at an equal lateral scanning velocity. The object beam of different transients is periodically superimposed along the Lissajous trajectory, and is recorded by an array microbolometer in a single integration of 3 s. A homogeneous illumination field is realized with a speckle contrast of 0.11, and the resultant image achieves isotropic resolution. By adopting the proposed galvanometric illumination strategy, the average intensity of the illumination field is increased by 135% compared to expanded coherent illumination, and the speckle contrast is reduced by 83.5% compared to other galvanometric illumination. By virtue of leading low speckle noise, illumination homogeneity and parallelism, a compact imaging system is built for terahertz full-field imaging and computed tomography achieving high imaging speed and fidelity. As a successful attestation of terahertz beam steering, this study is very promising to reduce the total cost, increase the performance and expand the application of terahertz imaging.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"185 ","pages":"Article 108714"},"PeriodicalIF":3.5,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747795","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

Rapid fabrication of through-hole arrays in thin glass by femtosecond laser bursts assisted with chemical etching

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2024-11-24 DOI: 10.1016/j.optlaseng.2024.108698

Quanji Wang , Shaorui Yang , Le Liu , Zijing Yang , Xinke Xu , Si Wu , Xiaohui Su , Jun Duan , Lei Liu , Wei Xiong , Leimin Deng

{"title":"Rapid fabrication of through-hole arrays in thin glass by femtosecond laser bursts assisted with chemical etching","authors":"Quanji Wang , Shaorui Yang , Le Liu , Zijing Yang , Xinke Xu , Si Wu , Xiaohui Su , Jun Duan , Lei Liu , Wei Xiong , Leimin Deng","doi":"10.1016/j.optlaseng.2024.108698","DOIUrl":"10.1016/j.optlaseng.2024.108698","url":null,"abstract":"<div><div>A large-area vertical through-hole array in thin glass is rapidly fabricated by using femtosecond laser bursts assisted with chemical etching. By investigating the effects of the sub-pulse number and total pulse energy on the morphologies of the ablated microholes, as well as the effects of the chemical etching time and the concentration of HF acid solution on the morphologies of the through-holes, it is found that only under the condition that the upper surface of the glass microhole arrays is not ablated, but the exit is ablated by the femtosecond laser bursts with the increase of the sub-pulse number, a uniform and nearly vertical through-hole array can be obtained after etching in 5-wt% HF acid solution for 20 min. This single-step femtosecond laser bursts scanning method can significantly improve the fabrication efficiency of the ablated microhole arrays to about 18,000 microholes per second, which might provide a new technical guide for rapidly fabricating large-area vertical through-hole arrays in thin glass.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"185 ","pages":"Article 108698"},"PeriodicalIF":3.5,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747790","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

Micro-Raman spectroscopy investigation of deformation transfer at the interface between Bi2Se3 nanoflakes and a flexible substrate

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2024-11-21 DOI: 10.1016/j.optlaseng.2024.108705

Miaojing Wang , Huadan Xing , Rubing Li , Qiu Li , Wei Qiu

{"title":"Micro-Raman spectroscopy investigation of deformation transfer at the interface between Bi2Se3 nanoflakes and a flexible substrate","authors":"Miaojing Wang , Huadan Xing , Rubing Li , Qiu Li , Wei Qiu","doi":"10.1016/j.optlaseng.2024.108705","DOIUrl":"10.1016/j.optlaseng.2024.108705","url":null,"abstract":"<div><div>The experimental investigation of the mechanical behavior at the interface between a few-layer Bi<sub>2</sub>Se<sub>3</sub> nanoflake and flexible substrate is of great significance for the structural design and performance development of electronic devices based on topological insulator nanostructure. A quantitative micro-Raman study of the interfacial deformation transfer behavior was performed in this work. Combined with micro-Raman spectroscopy and in-situ loading, the Raman shift-strain coefficients of A<sub>1g</sub> phonon modes for Bi<sub>2</sub>Se<sub>3</sub> nanoflakes with different longitudinal and transverse dimensions on the flexible substrate were calibrated, and the longitudinal dimensions were determined using a rapid and reliable optical identification method developed based on the optical contrast difference. In addition, an interfacial bonding phenomenological model was proposed to analyze the process of interfacial re-bonding after debonding with increasing strain and the interfacial bonding enhancement after cyclic loading. The influences of transverse dimension and thickness of Bi<sub>2</sub>Se<sub>3</sub> nanoflakes on the interfacial bonding and deformation transfer were quantified by calibrating Raman shift-strain coefficients for multiple samples and were further attributed to the edge effect of the interfacial shear force and decline of interfacial deformation transfer with the layers, respectively.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"185 ","pages":"Article 108705"},"PeriodicalIF":3.5,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747771","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

Illumination enhancement discriminator and compensation attention based low-light visible and infrared image fusion

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2024-11-21 DOI: 10.1016/j.optlaseng.2024.108700

Xingfei Zhang , Gang Liu , Mengliang Xing , Gaoqiang Wang , Durga Prasad Bavirisetti

{"title":"Illumination enhancement discriminator and compensation attention based low-light visible and infrared image fusion","authors":"Xingfei Zhang , Gang Liu , Mengliang Xing , Gaoqiang Wang , Durga Prasad Bavirisetti","doi":"10.1016/j.optlaseng.2024.108700","DOIUrl":"10.1016/j.optlaseng.2024.108700","url":null,"abstract":"<div><div>Infrared and visible image fusion is an important image enhancement technology, aiming to generate high-quality fused images with prominent targets and rich textures in extreme environments. However, most existing image fusion methods are designed for infrared and visible images under normal lighting. At night, due to severe degradation of visible images, existing fusion methods have deficiencies in texture details and visual perception, which affects subsequent visual applications. To this end, this paper proposes a three-discriminator infrared and visible image fusion method based on GAN network. Specifically, this method adds an illumination enhancement discriminator based on the GAN-based dual discriminator fusion network. The input of this discriminator is the fused image generated by the generator and the low-light enhanced visible light image. By fighting in the third discriminator, it is ensured that the fused image output by the generator achieves the expected effect on the brightness information. In addition, this method also proposes a compensation attention module to convey the multi-scale features extracted by the feature extraction network and ensure that the fused image contains important detailed texture information. Compared with other fusion methods on public data sets such as MSRS, M3FD, Roadscence and TNO, the fusion results of this paper perform better in both quantitative measurement and qualitative effects. It also performs better in enhancing the brightness information.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"185 ","pages":"Article 108700"},"PeriodicalIF":3.5,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747868","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

Autofocusing method for active Hadamard single-pixel microscopy using gradient descent algorithms

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2024-11-21 DOI: 10.1016/j.optlaseng.2024.108699

Heberley Tobón-Maya , Samuel I. Zapata-Valencia , Lindsey Willstatter , Stefano Bonora , Andrea Farina , Jesús Lancis , Enrique Tajahuerce

{"title":"Autofocusing method for active Hadamard single-pixel microscopy using gradient descent algorithms","authors":"Heberley Tobón-Maya , Samuel I. Zapata-Valencia , Lindsey Willstatter , Stefano Bonora , Andrea Farina , Jesús Lancis , Enrique Tajahuerce","doi":"10.1016/j.optlaseng.2024.108699","DOIUrl":"10.1016/j.optlaseng.2024.108699","url":null,"abstract":"<div><div>In active single-pixel microscopy (SPM) the final image quality is mainly determined by the correct focusing of a set of structured light patterns over the sample under study. The correct pattern checking represents a recurrent time-consuming task. In this work a fast, reconstruction-less autofocusing correction method for Hadamard-based reflective SPM is presented. The defocus phenomenon in SPM is physically described, and numerically and experimentally evaluated. A focus tunable lens is employed to introduce a controllable phase and correct the defocusing aberration. The value of the focal length correction is evaluated by analyzing a reduced region of interest within the Hadamard frequency space which ensures fast and reconstructionless operation for the autofocus routine. The sum of the absolute value of the measured sampled frequencies reaches its maximum value when the defocus is fully corrected. The inverse of the calculated sum is minimized using the gradient descent algorithm within an average of 9 experimental iterations to reach the optimal phase value. The performance of the method is tested experimentally with a resolution test chart placed along the focusing axis.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"185 ","pages":"Article 108699"},"PeriodicalIF":3.5,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Low-rank adaptive transfer learning based for multi-label defect detection in laser powder bed fusion 基于低等级自适应迁移学习的激光粉末床融合中的多标签缺陷检测

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2024-11-20 DOI: 10.1016/j.optlaseng.2024.108683

Lang Cheng , Zimeng Jiang , Hesai Wang , Chenguang Ma , Aoming Zhang , Honghong Du , Canneng Fang , Kai Wu , Yingjie Zhang

{"title":"Low-rank adaptive transfer learning based for multi-label defect detection in laser powder bed fusion","authors":"Lang Cheng , Zimeng Jiang , Hesai Wang , Chenguang Ma , Aoming Zhang , Honghong Du , Canneng Fang , Kai Wu , Yingjie Zhang","doi":"10.1016/j.optlaseng.2024.108683","DOIUrl":"10.1016/j.optlaseng.2024.108683","url":null,"abstract":"<div><div>Defects in the laser powder bed fusion (L-PBF) process have significantly hindered the broader application of this technology, and consistent quality assurance remains a critical challenge. To address this, real-time monitoring technologies are urgently required to effectively guide the production of high-quality parts. Although deep learning has advanced the intelligent development of powder bed defect detection methods, challenges persist in terms of model generalizability and robustness in complex environments. Additionally, the accurate labeling and recognition of tiny or overlapping defects remain difficult tasks. In this study, we propose a novel method for in-situ monitoring of L-PBF powder bed defects, integrating low-rank adaptive transfer learning with multi-label classification. This method offers a robust solution for in-situ monitoring under complex and variable conditions, achieving high recognition accuracy for composite powder bed defects while maintaining a low training cost. Our approach attains a testing exact match ratio of 93.28 % with significantly fewer training parameters (1.6956M), surpassing full fine-tuning methods. Furthermore, the proposed method demonstrates enhanced robustness in scenarios with limited training samples and complex conditions. When transferred to a selective laser sintering defect dataset, the method achieves a 99.32 % testing exact match ratio within just 10 epochs, illustrating its effectiveness in cross-task and cross-process transfer learning. The proposed method holds promise for efficient powder bed defect identification across different additive manufacturing processes.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"184 ","pages":"Article 108683"},"PeriodicalIF":3.5,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142697218","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

A comparative study of pump-probe photothermal spectroscopy using mach-zehnder interferometer and in-fiber mode interferometer

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2024-11-20 DOI: 10.1016/j.optlaseng.2024.108695

Mengyuan Hu , Chenyu Yao , Mai Hu , Chao Wei , Wei Ren

引用次数: 0

Binocular composite grayscale fringe projection profilometry based on deep learning for single-shot 3D measurements

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2024-11-20 DOI: 10.1016/j.optlaseng.2024.108701

Junyi Lin , Qi Dou , Qianbao Cheng , Changbiao Huang , Ping Lu , Hua Liu

{"title":"Binocular composite grayscale fringe projection profilometry based on deep learning for single-shot 3D measurements","authors":"Junyi Lin , Qi Dou , Qianbao Cheng , Changbiao Huang , Ping Lu , Hua Liu","doi":"10.1016/j.optlaseng.2024.108701","DOIUrl":"10.1016/j.optlaseng.2024.108701","url":null,"abstract":"<div><div>The efficiency and precision of 3D shape reconstruction has been a focus in the fringe projection profilometry (FPP). However, achieving high-quality 3D measurement for isolated or overlapping objects from single fringe image is still a challenging task in the field. In this paper, a binocular composite grayscale fringe projection profilometry (BCGFPP) based on deep learning is proposed, in which a two-stage one-to-three network (TO<img>Net) is trained to predict the images required for phase unwrapping. The obtained absolute phase map exhibits high precision and eliminates deviation error and periodic ambiguity typically encountered in traditional sinusoidal composite fringe coding scheme. Haar transform principle is employed to form a Haar-like composite fringe pattern (HCFP), which consists of three different frequencies, serving as the input. TO<img>Net architecture is designed to predict images required by the tri-frequency four-step phase-shifting method (TFPM). Further, the absolute phase is calculated and the disparity map is obtained by matching the absolute phase of the left and right cameras. Finally, the 3D shape of the object can be restored by the system calibration parameters. Experimental results demonstrate the approach can greatly reduce the number of fringes required and achieve the accuracy of the absolute phase close to the training set.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"185 ","pages":"Article 108701"},"PeriodicalIF":3.5,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747866","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