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Deformation tracking of honeycomb structure based on image skeletonization and branch point matching 基于图像骨架化和分支点匹配的蜂窝结构形变跟踪
IF 3.5 2区 工程技术 Q2 OPTICS Pub Date : 2024-10-01 DOI: 10.1016/j.optlaseng.2024.108622
Honeycomb structures have attracted much attention in various engineering fields due to its superiorities in high specific strength, high specific stiffness and excellent energy-absorbing characteristics. Therefore, it is very important to obtain the deformation state of honeycomb structure in the studies of its manufacturing process and mechanical behavior. In this study, a simple and efficient strategy for tracking the deformation of thin-walled honeycomb structure based on image skeletonization and branch points matching is presented. Principle and process of the new proposed strategy are first detailed, including image skeletonization, branch points selection, matching expansion and deformation calculation, etc. Simulations and experiments with compression and tensile deformations are performed to verify the efficiency of the proposed strategy. The results indicate that the displacement measurements based on the proposed strategy are able to provide subpixel-level accuracy, even though some interference branch points are generated during deformation. In addition, the limitations of the proposed strategy are discussed, which points out the train of thought for the subsequent research.
蜂窝结构具有高比强度、高比刚度和优异的吸能特性,因此在各个工程领域备受关注。因此,获取蜂窝结构的变形状态对于研究其制造工艺和力学行为非常重要。本研究提出了一种基于图像骨架化和分支点匹配的简单高效的薄壁蜂窝结构变形跟踪策略。首先详细介绍了新策略的原理和过程,包括图像骨架化、分支点选择、匹配扩展和变形计算等。通过压缩和拉伸变形的模拟和实验,验证了所提策略的效率。结果表明,尽管在变形过程中会产生一些干扰分支点,但基于所提策略的位移测量能够提供亚像素级的精度。此外,还讨论了所提策略的局限性,为后续研究指明了思路。
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引用次数: 0
Study on stress singularities in cylindrical shells with an arbitrary oriented crack using digital gradient sensing technique 利用数字梯度传感技术研究带有任意方向裂纹的圆柱形壳体中的应力奇异点
IF 3.5 2区 工程技术 Q2 OPTICS Pub Date : 2024-10-01 DOI: 10.1016/j.optlaseng.2024.108612
In this paper, the transmitted digital gradient sensing (DGS) technique is applied to analyze stress singularity at the tip of an arbitrary oriented crack in a cylindrical shell. A thoretical model of the opitcal path near the tip of the inclined crack in a cylindrical shell under mixed-mode fracture is proposed based on the geometric optical imaging principle. An optical governing equation of DGS technique is established to relate the mixed-mode stress intensity fractors (SIFs) at the crack tip to the shell geometry parameters and the inclined crack sizes, and the angular deflection contours are theoretically plotted using this govering equation. Uniaxial tensile tests are carried out on polymethyl methacrylate (PMMA) cylindrical shells containing an edge crack with different inclined angles, and the optimal calculation area for the exaction of SIFs is determined from linear elasitic fracture mechanics. The effects of shell radius, shell thick, crack length, and crack angle on the mixed-mode SIFs are studied, respectively. These results show that the DGS technique is effective and accurate to evalute the stress singulary around an arbitrary oriented cracks in cylindrical shells.
本文应用透射数字梯度传感(DGS)技术分析了圆柱形壳体中任意定向裂纹尖端的应力奇异性。根据几何光学成像原理,提出了混合模式断裂下圆柱形壳体倾斜裂纹尖端附近光学路径的理论模型。建立了 DGS 技术的光学控制方程,将裂纹顶端的混合模式应力强度分形(SIF)与壳体几何参数和倾斜裂纹尺寸联系起来,并利用该控制方程从理论上绘制了角变形等值线。对含有不同倾斜角度边缘裂纹的聚甲基丙烯酸甲酯(PMMA)圆柱形壳体进行了单轴拉伸试验,并根据线性弹性断裂力学确定了 SIF 的最佳计算区域。分别研究了壳半径、壳厚度、裂纹长度和裂纹角度对混合模式 SIF 的影响。这些结果表明,DGS 技术能有效、准确地评估圆柱形壳体中任意方向裂纹周围的应力奇异性。
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引用次数: 0
Improved PointNet with accuracy and efficiency trade-off for online detection of defects in laser processing 改进的点网(PointNet)可在激光加工中在线检测缺陷的精度和效率之间进行权衡
IF 3.5 2区 工程技术 Q2 OPTICS Pub Date : 2024-09-28 DOI: 10.1016/j.optlaseng.2024.108610
Structural light vision sensing is widely applied in online detecting defects of laser processing due to their anti-interference ability for laser beams. However, the existing algorithms cannot extract the characteristics of weld defects with high precision. The computing cost of large-scale point cloud data is high. The balance between them is the main challenge to achieve online detection. To improve accuracy and reduce computation costs, this study uses point cloud data with depth information and proposes a point cloud segmentation method. It is a novelty method based on PointNet framework that has been verified for laser welding defect detection. Specifically, it used the PointNet framework as the backbone. It extracted enough local features of weld defects by multi-scale feature fusion, which concatenated features from different feature extraction layers to learn enough features to improve detection accuracy. The experiments were conducted on the real dataset of welds. The results showed its competitive performance in weld bead measurement and classification segmentation, and the accuracy of this method is 97.4 %. The proposed method improved mean intersection-over-union (mIoU) by 2.1 % compared with its backbone (PointNet), indicating a better segmentation accuracy. In addition, the proposed method improved detection speed compared with PointNet++. It can reach 60 frames per second, 7.5 times faster than PointNet++ and meet the online monitoring requirements. To conclude, the new detection method based on the improved PointNet with higher accuracy and faster speed of detection has a wide application prospect thanks to its novel model.
结构光视觉传感因其对激光束的抗干扰能力,被广泛应用于激光加工缺陷的在线检测。然而,现有算法无法高精度地提取焊接缺陷的特征。大规模点云数据的计算成本较高。如何平衡两者之间的关系是实现在线检测的主要挑战。为了提高精度并降低计算成本,本研究利用带有深度信息的点云数据,提出了一种点云分割方法。这是一种基于 PointNet 框架的新方法,已在激光焊接缺陷检测中得到验证。具体来说,该方法以 PointNet 框架为基础。它通过多尺度特征融合提取焊接缺陷的足够局部特征,将不同特征提取层的特征串联起来,从而学习到足够的特征来提高检测精度。实验在真实的焊缝数据集上进行。结果表明,该方法在焊缝测量和分类分割方面的性能极具竞争力,准确率达到 97.4%。与主干方法(PointNet)相比,所提出的方法将平均交集-过联合(mIoU)提高了 2.1%,表明其分割精度更高。此外,与 PointNet++ 相比,所提出的方法提高了检测速度。它可以达到每秒 60 帧,比 PointNet++ 快 7.5 倍,满足了在线监测的要求。总之,基于改进型 PointNet 的新检测方法具有更高的检测精度和更快的检测速度,其新颖的模型具有广泛的应用前景。
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引用次数: 0
Absolute distance measurement without dead zone based on dual-channel dispersive interferometry using the femtosecond laser 基于飞秒激光双通道色散干涉仪的无死角绝对距离测量技术
IF 3.5 2区 工程技术 Q2 OPTICS Pub Date : 2024-09-27 DOI: 10.1016/j.optlaseng.2024.108603
In this paper, a dual-channel dispersive interferometer using femtosecond laser is developed with a reference long optical fiber. The width spectrum of the femtosecond laser is divided into a ranging channel and a monitor channel using a coarse wavelength division multiplexer. The ranging channel uses long fiber to construct an unbalanced interferometer to eliminate measurement dead zone by changing the repetition frequency. The monitor channel can measure the fluctuation of long optical fiber in real-time. The dual-channel interference signal then can be received by one single spectrometer. The optical path drift of the long fiber-based reference path can be synchronously compensated to achieve high-precision ranging. In experiments, a 116 m long optical fiber was compensated to 3 × 10−8 stability for one hour. Compared with a commercial interferometer, the ranging accuracy is better than ±4 μm within a range of 300 mm.
本文开发了一种使用飞秒激光的双通道色散干涉仪,并配备了一根基准长光纤。利用粗波分复用器将飞秒激光的宽度光谱分为测距通道和监测通道。测距通道使用长光纤构建非平衡干涉仪,通过改变重复频率消除测量死区。监控通道可实时测量长光纤的波动。然后,双通道干扰信号可由单个光谱仪接收。基于长光纤参考路径的光路漂移可以同步补偿,从而实现高精度测距。在实验中,一根 116 米长的光纤经过一小时的补偿,稳定性达到 3 × 10-8。与商用干涉仪相比,在 300 毫米范围内的测距精度优于 ±4 μm。
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引用次数: 0
Four-frame pixel super-resolution method for lensless imaging systems 无镜头成像系统的四帧像素超分辨率方法
IF 3.5 2区 工程技术 Q2 OPTICS Pub Date : 2024-09-26 DOI: 10.1016/j.optlaseng.2024.108597
Lensless imaging systems have gained significant attention recently due to their advantages in terms of reduced size and weight compared to traditional lens-based systems. However, like other imaging methods, lensless imaging encounters challenges in resolving scenes with more details. In this article, we propose a novel four-frame super-resolution method specifically tailored for lensless imaging systems. Our approach shares similarities with previous lensless imaging systems, involving a sensor and a modulation device placed in front of the image sensor. We develop an explicit degradation downsampling model with sub-pixel shifts and provide the solution to corresponding inverse problem, may offering valuable guidance for other super-resolution imaging algorithms based on spatial displacements. By applying random lateral sub-pixel shifts, acquiring four low-resolution (LR) images, and fusing their spatial information, we achieve high-resolution (HR) sensor recordings, enabling super-resolution reconstruction of the imaging scene. Numerical simulations demonstrate approximately an improvement in spatial resolution compared to single-measurement methods. Furthermore, we evaluate the performance of our method across various lensless imaging systems utilizing different masks, validating its versatility and effectiveness in achieving higher resolution outcomes. Experimental results also support our proposed scheme's ability to achieve higher spatial resolution reconstruction in a real system.
与传统的镜头式系统相比,无镜头成像系统具有体积小、重量轻的优势,因此近来备受关注。然而,与其他成像方法一样,无透镜成像在解析更多细节的场景时也遇到了挑战。在本文中,我们提出了一种专门为无镜头成像系统定制的新型四帧超分辨率方法。我们的方法与之前的无镜头成像系统有相似之处,都涉及一个传感器和一个放置在图像传感器前的调制装置。我们建立了一个具有子像素位移的显式降解采样模型,并提供了相应逆问题的解决方案,这可能会为其他基于空间位移的超分辨率成像算法提供有价值的指导。通过应用随机横向亚像素位移,获取四幅低分辨率(LR)图像并融合其空间信息,我们实现了高分辨率(HR)传感器记录,从而实现了成像场景的超分辨率重建。数字模拟证明,与单次测量方法相比,空间分辨率提高了大约一倍。此外,我们还评估了我们的方法在使用不同掩膜的各种无镜头成像系统中的性能,验证了它在实现更高分辨率结果方面的通用性和有效性。实验结果也支持我们提出的方案能够在实际系统中实现更高的空间分辨率重建。
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引用次数: 0
The Mueller pupils Reduction-Zernike polynomial decomposition and polarization design criteria for the astronomical telescope system 天文望远镜系统的穆勒瞳孔缩小-Zernike 多项式分解和偏振设计标准
IF 3.5 2区 工程技术 Q2 OPTICS Pub Date : 2024-09-26 DOI: 10.1016/j.optlaseng.2024.108598
This study introduces a novel method for decomposing polarization aberrations. It uses two sets of reduction matrices to decompose the diattenuation and retardance Mueller matrix into five independent reduction coefficients. And then, it uses Zernike polynomials to decompose these coefficients at the exit pupil, thereby providing a method for quantitatively analyzing the polarization aberrations. This method also gives the constraint values of the Zernike term of polarization aberrations during astronomical telescope design. Finally, the effectiveness and correctness of the process are verified by simulation of the actual optical system, pointing out that the D1, D2, D3, and R5 terms need to be calibrated and optimized to ensure polarization accuracy. This method offers a valuable tool and theoretical guidance for the polarization design of high-precision optical systems.
本研究介绍了一种分解偏振畸变的新方法。它使用两组还原矩阵将衰减和延迟 Mueller 矩阵分解为五个独立的还原系数。然后,它使用 Zernike 多项式在出瞳处分解这些系数,从而提供了一种定量分析偏振像差的方法。该方法还给出了天文望远镜设计过程中偏振像差 Zernike 项的约束值。最后,通过对实际光学系统的仿真验证了这一过程的有效性和正确性,指出需要对 D1、D2、D3 和 R5 项进行校准和优化,以确保偏振精度。该方法为高精度光学系统的偏振设计提供了宝贵的工具和理论指导。
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引用次数: 0
Iteratively correcting algorithm for suppressing temporal variations in phase-shifting interferometry 用于抑制移相干涉测量法中时间变化的迭代校正算法
IF 3.5 2区 工程技术 Q2 OPTICS Pub Date : 2024-09-25 DOI: 10.1016/j.optlaseng.2024.108604
In this paper, we introduce an iterative correcting algorithm for phase demodulation in optical metrology via phase-shifting interferometry. The scheme can effectively cope with interferograms with both temporal intensity variations and non-uniformly spaced phase shifts. When the background intensity and fringe visibility vary only over time while spatially remaining constants, our approach can iteratively estimate and correct them. For each iteration, we propose retrieving the phase shifts and the temporal variations, and then we extract the phase map from the corrected interferograms. We provide the spectral analysis of the method according to the frequency transfer function (FTF) formalism for phase-shifting algorithms. Results show that our scheme can accurately retrieve the phase map where the demodulation errors are unintelligible. Additionally, our method has computational time comparable to state-of-the-art iterative algorithms for non-uniformly phase-shifted interferograms, converging rapidly within ten iterations.
本文介绍了一种迭代校正算法,用于通过移相干涉测量法进行光学计量中的相位解调。该方案可有效处理具有时间强度变化和非均匀相移的干涉图。当背景强度和条纹能见度仅随时间变化而空间保持不变时,我们的方法可以迭代估计和校正它们。在每次迭代中,我们建议检索相移和时间变化,然后从校正后的干涉图中提取相位图。我们根据相移算法的频率传递函数(FTF)形式对该方法进行了频谱分析。结果表明,在解调误差无法理解的情况下,我们的方案可以准确地检索相位图。此外,对于非均匀相移干涉图,我们方法的计算时间与最先进的迭代算法相当,可在十次迭代内迅速收敛。
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引用次数: 0
Quaternion attention-based JND model for macrophotography image watermarking 基于四元数注意力的 JND 模型用于微距摄影图像水印技术
IF 3.5 2区 工程技术 Q2 OPTICS Pub Date : 2024-09-24 DOI: 10.1016/j.optlaseng.2024.108607
With the advancement of imaging technology, macrophotography images (MPIs) have become a popular research topic. Unlike natural images, MPIs often feature sharp foregrounds and blurred backgrounds, leading to distinct perceptual characteristics in estimation. As the number of MPIs grows rapidly, concerns over image quality and security increase. Robust watermarking techniques have been introduced to address these challenges. Just Noticeable Difference (JND) has been widely used in quantization-based watermarking frameworks. However, existing JND models handle each image area with a single-level perceptual attention. Visual attention in Quaternion Discrete Wavelet Transform (QDWT), which can reflect the Multi-level perceptual attention feature. Therefore, we propose a new method called Quaternion Attention-based Just Noticeable Difference model for MPIs Watemarking (QAJnd-MW) for watermarking MPIs. This method uses visual attention mechanisms, recognizing that the HVS is more sensitive to attention regions. We generate a masking effect in the JND field. The input image undergoes QDWT to explore multi-scale features. The multi-scale feature maps, with multi-directional luminance and multi-channel color, help create local and global attention maps, which are fused to form the final attention map. Specifically, considering both attention-based masking effects, the quaternion attention-guided JND model is designed for a robust MPI watermarking framework, aiming to further improve MPI security. Extensive experiments on the MP2020 and Blur Detection datasets show that the proposed model significantly improves robustness against JPEG compression attacks, reducing the bit error rate (BER) by up to 12%. Additionally, the model performs well against other attacks, such as those in online social networks, with lower BER than current state-of-the-art techniques.
随着成像技术的发展,微距摄影图像(MPI)已成为一个热门研究课题。与自然图像不同,微距摄影图像通常前景清晰、背景模糊,因此在估算时具有明显的感知特征。随着 MPI 数量的快速增长,人们对图像质量和安全性的担忧也随之增加。为了应对这些挑战,人们引入了稳健的水印技术。在基于量化的水印框架中,JND(Just Noticeable Difference)得到了广泛应用。然而,现有的 JND 模型是以单级感知注意力处理每个图像区域。四元离散小波变换(QDWT)中的视觉注意力可以反映多层次的感知注意力特征。因此,我们提出了一种用于 MPI 水印的新方法,称为基于四元数注意力的 MPI 水印可察觉差异模型(QAJnd-MW)。这种方法利用视觉注意力机制,认识到 HVS 对注意力区域更为敏感。我们在 JND 字段中产生遮蔽效应。输入图像经过 QDWT 处理,以探索多尺度特征。具有多方向亮度和多通道颜色的多尺度特征图有助于创建局部和全局注意力图,并将其融合形成最终的注意力图。具体来说,考虑到这两种基于注意力的掩蔽效应,设计了四元数注意力引导的 JND 模型,用于稳健的 MPI 水印框架,旨在进一步提高 MPI 的安全性。在 MP2020 和模糊检测数据集上进行的大量实验表明,所提出的模型显著提高了对 JPEG 压缩攻击的鲁棒性,将误码率(BER)降低了 12%。此外,该模型在应对其他攻击(如在线社交网络中的攻击)时表现出色,误码率低于当前最先进的技术。
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引用次数: 0
Advanced diffractive optical elements implementing multiple-input spatial multiplexing of terahertz radiation 实现太赫兹辐射多输入空间复用的先进衍射光学元件
IF 3.5 2区 工程技术 Q2 OPTICS Pub Date : 2024-09-23 DOI: 10.1016/j.optlaseng.2024.108606
In recent years, there has been growing interest in the utilization of terahertz (THz) technologies in telecommunications applications. In such systems, radiation multiplexing is required. In one of the solutions, multiplexing can be achieved through the application of appropriate passive optical components. In this study, three different designs of passive diffractive optical elements (DOEs) that meet the functionality of spatial multiplexing of THz radiation are presented. The functionality was achieved by combining two spatially separated optical channels into a single optical path with an addition of the focusing effect, creating multiple-input single-output (MISO) system performance. Two structures were designed as various combinations of off-axis segmentation of kinoform focusing lenses with particular shifts. However, the distribution of the third structure was created with the interactive algorithm. The performance of all structures was verified with numerical simulations using propagation based on the modified convolution method, giving promising results. In this study, the novel, specially dedicated method of 3D modeling was applied. MISO structures were manufactured using fused deposition modeling (FDM) 3D printing technology from styrene-butadiene copolymer (SBC) material, which is remarkably transparent for the THz radiation range (its absorption coefficient value is less than 1 cm−1 in the range up to 750 GHz). The manufactured structures were examined in the experimental setup. All three MISO structures demonstrated proper functionality by redirecting and focusing radiation from two spatially separated radiation sources into the single focal spot located on the main optical axis. However, the structure designed with the iterative algorithm significantly surpassed the performance of the other structures. This structure redirected over two times higher intensity in the desired manner and exhibited approximately 68.12% higher relative efficiency compared to the others. The structure designed with an iterative method is recommended for further investigation and future application in 6G telecommunication systems.
近年来,人们对在电信应用中使用太赫兹(THz)技术越来越感兴趣。在这些系统中,需要进行辐射复用。其中一种解决方案是通过应用适当的无源光学元件来实现多路复用。在这项研究中,介绍了三种不同设计的无源衍射光学元件(DOE),它们都能满足太赫兹辐射空间复用的功能。实现这一功能的方法是将两个空间上分离的光通道结合到一个光路中,再加上聚焦效应,从而产生多输入单输出(MISO)系统性能。两个结构被设计为具有特定偏移的动态聚焦透镜离轴分割的各种组合。不过,第三种结构的分布是通过交互式算法创建的。所有结构的性能都通过基于修正卷积法的传播进行了数值模拟验证,结果令人满意。在这项研究中,采用了新颖、专门的三维建模方法。采用熔融沉积建模(FDM)三维打印技术,用苯乙烯-丁二烯共聚物(SBC)材料制造了 MISO 结构,这种材料在太赫兹辐射范围内具有显著的透明性(在高达 750 GHz 的范围内,其吸收系数值小于 1 cm-1)。在实验装置中对制造的结构进行了检验。所有三种 MISO 结构都能将两个空间上分离的辐射源的辐射重新定向并聚焦到位于主光轴上的单个焦点上,从而显示出适当的功能。然而,采用迭代算法设计的结构在性能上明显优于其他结构。与其他结构相比,该结构按预期方式重定向的强度高出两倍多,相对效率也高出约 68.12%。建议进一步研究采用迭代法设计的结构,并将其应用于未来的 6G 电信系统。
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引用次数: 0
Temporal compressive complex amplitude imaging based on double random phase encoding 基于双随机相位编码的时相压缩复振幅成像技术
IF 3.5 2区 工程技术 Q2 OPTICS Pub Date : 2024-09-23 DOI: 10.1016/j.optlaseng.2024.108599
Snapshot temporal compressive imaging offers a potent method for capturing high-dimensional spatiotemporal information from a superimposed 2D image of a dynamic scene. However, despite its notable bandwidth-saving capability, simultaneous acquisition of spatiotemporal intensity and phase information remains challenging due to the phase insensitivity of detectors. To address this issue, a novel temporal compressive complex amplitude imaging (TCCAI) method based on double random phase encoding is proposed here. Within TCCAI, the target scene undergoes spatial modulation by a static phase mask in the spatial domain, followed by spatial encoding by an ultrahigh-speed-switchable phase mask in the spatial frequency domain after a Fourier transform. Adjacently, the scene is inversely Fourier transformed and integrally exposed onto a planar detector. Ultimately, the complex amplitude information, sensitive to both intensity and phase, can be faithfully reconstructed over time using a plug-and-play-based deep image prior algorithm. The feasibility, robustness, and superiority of TCCAI over intensity encoding-based methods are demonstrated through simulation. This approach is expected to pave the way for real-time multidimensional temporal imaging.
快照时空压缩成像技术为从动态场景的叠加二维图像中捕捉高维时空信息提供了一种有效的方法。然而,尽管这种方法具有显著的带宽节省能力,但由于探测器对相位不敏感,同时获取时空强度和相位信息仍然具有挑战性。为解决这一问题,本文提出了一种基于双随机相位编码的新型时空压缩复合振幅成像(TCCAI)方法。在 TCCAI 方法中,目标场景先在空间域通过静态相位掩码进行空间调制,然后在傅立叶变换后在空间频率域通过超高速可切换相位掩码进行空间编码。紧接着,场景经过反傅里叶变换并整体曝光到平面探测器上。最终,利用一种即插即用的深度图像先验算法,可以忠实地重建对强度和相位都很敏感的复杂振幅信息。通过仿真证明了 TCCAI 的可行性、鲁棒性和优于基于强度编码的方法。这种方法有望为实时多维时间成像铺平道路。
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引用次数: 0
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Optics and Lasers in Engineering
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