Optics and Lasers in Engineering最新文献_第10页

Realization of high-fidelity higher-order Bessel beams 实现高保真高阶贝塞尔波束

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2024-09-13 DOI: 10.1016/j.optlaseng.2024.108559

引用次数: 0

CCM-Net: Color compensation and coordinate attention guided underwater image enhancement with multi-scale feature aggregation CCM-Net：利用多尺度特征聚合进行色彩补偿和坐标注意引导的水下图像增强

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2024-09-12 DOI: 10.1016/j.optlaseng.2024.108590

{"title":"CCM-Net: Color compensation and coordinate attention guided underwater image enhancement with multi-scale feature aggregation","authors":"","doi":"10.1016/j.optlaseng.2024.108590","DOIUrl":"10.1016/j.optlaseng.2024.108590","url":null,"abstract":"<div><p>Due to the light scattering and wavelength absorption in water, underwater images exhibit blurred details, low contrast, and color deviation. Existing underwater image enhancement methods are divided into traditional methods and deep learning-based methods. Traditional methods either rely on scene prior and lack robustness, or are not flexible enough resulting in poor enhancement effects. Deep learning methods have achieved good results in the field of underwater image enhancement due to their powerful feature representation ability. However, these methods cannot enhance underwater images with various degradations because they do not consider the inconsistent attenuation of different color channels and spatial regions. In this paper, we propose a novel asymmetric encoder-decoder network for underwater image enhancement, called CCM-Net. Concretely, we first introduce the prior knowledge-based encoder, which includes color compensation (CC) modules and feature extraction modules that consist of depth-wise separable convolution and global-local coordinate attention (GLCA). Then, we design a multi-scale feature aggregation (MFA) module to integrate shallow, middle, and deep features. Finally, we deploy a decoder to reconstruct the underwater images with the extracted features. Extensive experiments on publicly available datasets demonstrate that our CCM-Net effectively improves the visual quality of underwater images and achieves impressive performance.</p></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142172732","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

An on-machine measurement and calibration method for incident laser error in dual-swing laser heads 双摆动激光头入射激光误差的机上测量和校准方法

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2024-09-12 DOI: 10.1016/j.optlaseng.2024.108563

{"title":"An on-machine measurement and calibration method for incident laser error in dual-swing laser heads","authors":"","doi":"10.1016/j.optlaseng.2024.108563","DOIUrl":"10.1016/j.optlaseng.2024.108563","url":null,"abstract":"<div><p>The dual-swing laser head is essential for five-axis laser machining, yet its precision is greatly affected by the incident laser beam. Any positional or angular deviation in the laser can cause the focus spot position of the head to change continuously during rotation, thereby severely compromise the manufacturing performance of the head. However, the current calibration methods for the incident beam of dual-swing laser heads have issues with low accuracy and insufficient engineering applicability. This paper proposes an on-machine measurement and calibration method for incident laser error in dual-swing laser heads. An error model for the incident beam with a dual-swing laser head was established, from which the law of spot position changes caused by incident beam errors during the head's rotation was derived. Subsequently, following this law, a precision calibration method for the laser head's incident beam error was proposed, based on the theory of optical image height. Afterwards, an on-machine error measurement system was established on the dual-swing laser head, and the calibration method was verified through experiments. The results show that the use of this calibration method can improve the accuracy of the incident beam for dual-swing laser head to 0.071 mm, which is approximately 3–4 times better than traditional calibration methods, thereby significantly enhancing the manufacturing precision of the laser head.</p></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142172734","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

Research on high precision localization of space target with multi-sensor association 多传感器联合的空间目标高精度定位研究

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2024-09-12 DOI: 10.1016/j.optlaseng.2024.108553

引用次数: 0

Multi-line laser scanning reconstruction with binocularly speckle matching and trained deep neural networks 利用双目斑点匹配和训练有素的深度神经网络进行多线激光扫描重建

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2024-09-12 DOI: 10.1016/j.optlaseng.2024.108582

{"title":"Multi-line laser scanning reconstruction with binocularly speckle matching and trained deep neural networks","authors":"","doi":"10.1016/j.optlaseng.2024.108582","DOIUrl":"10.1016/j.optlaseng.2024.108582","url":null,"abstract":"<div><p>A multi-line laser scanning system for 3D topography measurement is proposed. This method not only has the advantages of high precision of laser scanning technology, but also has high reconstruction efficiency. In this paper, speckle reconstruction technique, multi-line laser technique and Biocular reconstruction technique are used to construct a 3D reconstruction system, and test equipment is built, and the problems existing in the system establishment process are actually studied. In order to solve the problem of mismatching in binocular multi-line laser matching, a method to sort out the correspondence of multiple laser lines in binocular images based on speckle matching results is proposed. In order to optimize the multi-line laser matching effect, a speckle matching network based on deep learning is proposed, which integrates the grayscale images of the left and right cameras as supplementary information, and takes the speckle image and grayscale image as the input of the network model to obtain more accurate and edge-complete matching results. Finally, the matching results of the multi-line laser and the camera calibration parameters were used to reconstruct the object point cloud. Experimental results show that the proposed speckle matching method can make binocular multiline laser point cloud reconstruction more robust and stable than the traditional method, and through the accuracy analysis of the system, it is proved that the average measurement accuracy of the proposed method can reach 0.05 mm.</p></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142172729","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 from random phase-shifting interferograms using neural network and least squares method 利用神经网络和最小二乘法从随机移相干涉图中检索相位

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2024-09-12 DOI: 10.1016/j.optlaseng.2024.108554

引用次数: 0

MFR-Net: A multi-feature fusion phase unwrapping method for different speckle noises MFR-Net：针对不同斑点噪声的多特征融合相位解除方法

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2024-09-12 DOI: 10.1016/j.optlaseng.2024.108585

{"title":"MFR-Net: A multi-feature fusion phase unwrapping method for different speckle noises","authors":"","doi":"10.1016/j.optlaseng.2024.108585","DOIUrl":"10.1016/j.optlaseng.2024.108585","url":null,"abstract":"<div><p>Phase unwrapping is a crucial step in laser interferometry for obtaining accurate physical measurement of object. To reduce the impact of speckle noise on wrapped phase during actual measurement and improve the subsequent measurement accuracy, a multi-feature fusion phase unwrapping method for different speckle noises named MFR-Net is proposed in this paper. The network is composed of a front-end multi-module filter processing layer and a back-end network with dilated convolution and coordinate attention mechanism. By reducing random phase differences introduced by different levels of noise, the network enhances its capability to extract spatial features such as gradient information between pixels under speckle noise, so that it successfully unwraps the wrapped phase with different speckle noises and accurately recovers the real phase information. Taking the wrapped phases with multiplicative speckle noise and additive random noise as dataset, the results of ablation and comparison experiments show that the MFR-Net has superior unwrapped results. Under three different levels of speckle noise, the average values of MSE, SSIM, PSNR and AU for MFR-Net are at least improved by 84.80 %, 10.99 %, 29.00 % and 7.72 %, respectively, compared to PDVQG, TIE, DLPU and VURNet algorithms. When the standard deviation of speckle noise varies continuously in the range [1.0, 2.0], the average values of four indexes reaches 0.12 rad, 0.91, 31.80 dB and 99.96 %, respectively, indicating the stronger robustness of MFR-Net. In addition, the phase step unwrapping is performed by MFR-Net. Compared to DLPU and VURNet, MFR-Net method reduced MSE by 80 % and 87.35 %, respectively, demonstrating the outstanding generalization capability. The proposed MFR-Net can realize the correct phase unwrapping under different speckle noises. It may be applied in laser interferometry applications such as digital holography and interferometric synthetic aperture radar.</p></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142172833","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

Analytical equation for camera imaging with refractive interfaces 带有折射界面的照相机成像分析方程

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2024-09-11 DOI: 10.1016/j.optlaseng.2024.108581

{"title":"Analytical equation for camera imaging with refractive interfaces","authors":"","doi":"10.1016/j.optlaseng.2024.108581","DOIUrl":"10.1016/j.optlaseng.2024.108581","url":null,"abstract":"<div><p>Camera imaging through refractive interfaces is a crucial issue in photogrammetric measurements. Most past studies adopted numerical optimization algorithms based on refractive ray tracing procedures. In these studies, the camera and interface parameters are usually calculated iteratively with numerical optimization algorithms. Inappropriate initial values can cause iterations to diverge. Meanwhile, these iterations cannot efficiently reveal the accurate nature of refractive imaging. Therefore, obtaining camera calibration results that are both flexible and physically interpretable continues to be challenging. Consequently, in this study, we modeled refractive imaging by employing ray transfer matrix analysis. Subsequently, we deduced an analytical refractive imaging (ARI) equation that explicitly describes the refractive geometry in a matrix form. Although this equation is built upon the paraxial approximation, we executed a numerical experiment that shows that the developed analytical equation can accurately illustrate refractive imaging with a considerable object distance and a slightly tilted angle of the flat interface. This ARI equation can be used to define the expansion center and the normal vector of the flat interface. Finally, we also propose a flexible measurement method to determine the orientation of the flat interface, wherein the orientation can be measured rather than calculated by iterative procedures.</p></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142169551","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

Multicolor imaging based on brightness coded set 基于亮度编码集的多色成像技术

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2024-09-11 DOI: 10.1016/j.optlaseng.2024.108552

{"title":"Multicolor imaging based on brightness coded set","authors":"","doi":"10.1016/j.optlaseng.2024.108552","DOIUrl":"10.1016/j.optlaseng.2024.108552","url":null,"abstract":"<div><p>Fluorescence imaging necessitates precise matching of excitation source, dichroic mirror, emission filter, detector and dyes, which is complex and time-consuming, especially for applications of probe multiplexing. We propose a novel method for multicolor imaging based on a brightness coded set. Each brightness code consists of 12 bits (<span><math><mi>O</mi><mi>O</mi><mi>O</mi><mi>X</mi><mi>X</mi><mi>X</mi><mi>Y</mi><mi>Y</mi><mi>Y</mi><mi>Z</mi><mi>T</mi><mi>T</mi></math></span>), denoting probe type, cube, emission filter, imaging result and priority, respectively. The brightness of a probe in an imaging system is defined as the product of extinction coefficient, quantum yield and the filter transmittance. When the brightness exceeds the threshold, <span><math><mi>Z</mi><mo>=</mo><mn>1</mn></math></span> indicates a clear image, otherwise <span><math><mi>Z</mi><mo>=</mo><mn>0</mn></math></span>. The higher the brightness value the higher the priority (<em>TT</em>). To validate the efficacy and efficiency of the coding method, we conducted two separate experiments involving four-color imaging. The proposed method offers a substantial simplification of the conventional approach to device matching in multicolor imaging by leveraging spectrograms, and presents a promising avenue for the advancement of intelligent multicolor imaging systems.</p></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142169550","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

Attenuated color channel adaptive correction and bilateral weight fusion for underwater image enhancement 用于水下图像增强的衰减色道自适应校正和双边权重融合

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2024-09-11 DOI: 10.1016/j.optlaseng.2024.108575

{"title":"Attenuated color channel adaptive correction and bilateral weight fusion for underwater image enhancement","authors":"","doi":"10.1016/j.optlaseng.2024.108575","DOIUrl":"10.1016/j.optlaseng.2024.108575","url":null,"abstract":"<div><p>Due to the absorption and scattering of light and the influence of suspended particles, underwater images commonly exhibit color distortions, reduced contrast, and diminished details. This paper proposes an attenuated color channel adaptive correction and bilateral weight fusion approach called WLAB to address the aforementioned degradation issues. Specifically, a novel white balance method is first applied to balance the color channel of the input image. Moreover, a local-block-based fast non-local means method is proposed to obtain a denoised version of the color-corrected image. Then, an adaptive stretching method that considers the histogram's local features to get a contrast-enhanced version of the color-corrected image. Finally, a bilateral weight fusion method is proposed to fuse the above two image versions to obtain an output image with complementary advantages. Experimental studies are conducted on three benchmark underwater image datasets and compared with ten state-of-the-art methods. The results show that WLAB has a significant advantage over the comparative methods. Notably, WLAB exhibits a degree of independence from camera settings and enhances the precision of various image processing applications, including key points and saliency detection. Additionally, it demonstrates commendable adaptability in improving low-light and foggy images.</p></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142169400","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