Efficient Unsupervised Image Stitching Using Attention Mechanism with Deep Homography Estimation

Traditional feature-based image stitching techniques often encounter obstacles when dealing with images lackingunique attributes or suffering from quality degradation. The scarcity of annotated datasets in real-life scenesseverely undermines the reliability of supervised learning methods in image stitching. Furthermore, existing deeplearning architectures designed for image stitching are often too bulky to be deployed on mobile and peripheralcomputing devices. To address these challenges, this study proposes a novel unsupervised image stitching methodbased on the YOLOv8 (You Only Look Once version 8) framework that introduces deep homography networksand attentionmechanisms. Themethodology is partitioned into three distinct stages. The initial stage combines theattention mechanism with a pooling pyramid model to enhance the detection and recognition of compact objectsin images, the task of the deep homography networks module is to estimate the global homography of the inputimages consideringmultiple viewpoints. The second stage involves preliminary stitching of the masks generated inthe initial stage and further enhancement through weighted computation to eliminate common stitching artifacts.The final stage is characterized by adaptive reconstruction and careful refinement of the initial stitching results.Comprehensive experiments acrossmultiple datasets are executed tometiculously assess the proposed model. Ourmethod’s Peak Signal-to-Noise Ratio (PSNR) and Structure Similarity Index Measure (SSIM) improved by 10.6%and 6%. These experimental results confirm the efficacy and utility of the presented model in this paper.

Research on Stitching Algorithm Based on Tree Branch Image

Branch identification technology is a key technology to achieve automated pruning of fruit tree branches, and one of its technical bottlenecks lies in the stitching of branch images. To this end, we propose a set of branch image stitching technology algorithms. The algorithm is based on the grey-scale prime centroid method to determine the detection feature points, and uses the coordinate transformation matrix H of the corresponding points of the image to carry out the image geometric transformation, and realises the feature matching through sample comparison and classification methods. The experimental results show that the matched point images are more correct and less time-consuming.

Predicting the Stitch Density of Finished Fabrics Using Weft Blended Grey Knit Fabrics

Stitch density is one of the critical quality parameters of knit fabrics. This parameter is closely related to other physical quality parameters like fabric weight, fabric tightness factor, fiber types, blend ratio, yarn diameter and linear density, and fabric structure. Selecting stitch density (wales per inch, course per inch) is essential to getting the appropriate fabric weight and desired quality. Usually, no rules or assumptions exist to get the desired stitch density in the finished fabric stage. Fifteen types of blended knit fabrics were prepared to conduct the study. The varying percentages of cotton, polyester, and elastane are incorporated in the blends. Regression analysis and regression ANOVA tests were done to predict the stitch density of finished fabrics. A suitable regression equation is established to get the desired results. The study also found that the stitch density value in the finished stage fabric decreases by approximately 15% compared to the stitch density in the grey fabric stage. This study will help the fabric manufacturers get the finished fabric stitch density in advance by utilizing the grey fabric stitch density data set. The author expects this research to benefit the knitting and dyeing industry, new researchers, and advanced researchers.

A Gridless Router Based on Hierarchical PB Corner Stitching Structure

A multi layer gridless area router is reported.Based on corner stitching,this router adopts tile expansion to explore path for each net.A heuristic method that penalizes nodes deviating from the destination is devised to accelerate the algorithm.Besides,an enhanced interval tree is used to manage the intermediate data structure.In order to improve the completion rate of routing,a new gridless rip up and rerouting algorithm is proposed.The experimental results indicate that the completion rate is improved after the rip up and reroute process and the speed of this algorithm is satisfactory.

Computer aided stitching approach for dental restoration models

According to the bio-characteristics of the lower and upper cavity surfaces of dental restoration, a stitching approach is proposed based on a virtual zipper working mechanism and a minimization of the surface total curvature energy, which is used to resolve the stitching problems existing during computer-aided design for dental restorations. First, the two boundaries corresponding to the lower and upper surfaces are triangulated based on the zipper working mechanism to generate the initial stitching surface patch, of which the edges are distributed uniformly between the boundaries. Secondly, the initial stitching surface patch is subdivided and deformed to reconstruct an optimized surface patch according to the bio-characteristics of the teeth. The optimized surface patch is minimally distinguishable from the surrounding mesh in smoothness and density, and it can stitch the upper and lower cavity surfaces naturally. The experimental results show that the dental restorations obtained by the proposed method can satisfy both the shape aesthetic and the fitting accuracy, and meet the requirements of clinical oral medicine.

A morphology-stitching method to improve Landsat SLC-off images with stripes

Stripes are artifacts in satellite images caused by various factors such as hardware defects. In some cases, these artifacts are introduced by some mitigating algorithms like Landsat SLC-off （Scan Line Corrector） gap-filling methods of LLHM （Local Linear Histogram Matching） and AWLHM （Adaptive Window Linear Histogram Matching）, which leave stripes as a byproduct. To improve Landsat SLC-off images with stripes,we propose an algorithm involving some hypothetical stripe-crossing stitch lines using the mean pixel value of the stitch lines.

A survey on image and video stitching

Image/video stitching is a technology for solving the field of view(FOV)limitation of images/videos.It stitches multiple overlapping images/videos to generate a wide-FOV image/video,and has been used in various fields such as sports broadcasting,video surveillance,street view,and entertainment.This survey reviews image/video stitching algorithms,with a particular focus on those developed in recent years.Image stitching first calculates the corresponding relationships between multiple overlapping images,deforms and aligns the matched images,and then blends the aligned images to generate a wide-FOV image.A seamless method is always adopted to eliminate such potential flaws as ghosting and blurring caused by parallax or objects moving across the overlapping regions.Video stitching is the further extension of image stitching.It usually stitches selected frames of original videos to generate a stitching template by performing image stitching algorithms,and the subsequent frames can then be stitched according to the template.Video stitching is more complicated with moving objects or violent camera movement,because these factors introduce jitter,shakiness,ghosting,and blurring.Foreground detection technique is usually combined into stitching to eliminate ghosting and blurring,while video stabilization algorithms are adopted to solve the jitter and shakiness.This paper further discusses panoramic stitching as a special-extension of image/video stitching.Panoramic stitching is currently the most widely used application in stitching.This survey reviews the latest image/video stitching methods,and introduces the fundamental principles/advantages/weaknesses of image/video stitching algorithms.Image/video stitching faces long-term challenges such as wide baseline,large parallax,and low-texture problem in the overlapping region.New technologies may present new opportunities to address these issues,such as deep learning-based semantic correspondence,and 3D image stitching.Finally,this survey discusses the challenges of image/video stitching and proposes potential solutions.

Efficient Image Stitching in the Presence of Dynamic Objects and Structure Misalignment

This paper presents a new method for simultaneously eliminating visual artifacts caused by moving objects and structure misalignment in image stitching. Given that the input images are roughly aligned, our approach is implemented in two stages. In the first stage, we discover motions between input images, and then extract their corresponding regions through a multi-seed based region growing algorithm. In the second stage, with prior information provided by the extracted regions, we perform a graph cut optimization in gradient-domain to determine which pixels to use from each image to achieve seamless stitching. Our method is simple to implement and effective. The experimental results illustrate that the proposed approach can produce comparable or superior results in comparison with state-of-the-art methods.

Underwater Terrain Image Stitching Based on Spatial Gradient Feature Block

At present,underwater terrain images are all strip-shaped small fragment images preprocessed by the side-scan sonar imaging system.However,the processed underwater terrain images have inconspicuous and few feature points.In order to better realize the stitching of underwater terrain images and solve the problems of slow traditional image stitching speed,we proposed an improved algorithm for underwater terrain image stitching based on spatial gradient feature block.First,the spatial gradient fuzzy C-Means algorithm is used to divide the underwater terrain image into feature blocks with the fusion of spatial gradient information.The accelerated-KAZE(AKAZE)algorithm is used to combine the feature block information to match the reference image and the target image.Then,the random sample consensus(RANSAC)is applied to optimize the matching results.Finally,image fusion is performed with the global homography and the optimal seam-line method to improve the accuracy of image overlay fusion.The experimental results show that the proposed method in this paper effectively divides images into feature blocks by combining spatial information and gradient information,which not only solves the problem of stitching failure of underwater terrain images due to unobvious features,and further reduces the sensitivity to noise,but also effectively reduces the iterative calculation in the feature point matching process of the traditional method,and improves the stitching speed.Ghosting and shape warping are significantly eliminated by re-optimizing the overlap of the image.

DYNAMICS OF THE LOOPER DRIVE MECHANISM ON A BLIND STITCHING MACHINE

The looper drive mechanism is a main moving part in the blind stitching machine, which is aspatial 5 bar RRRSR linkage. In this paper, a dynamic analysis of the looper drive mechanism is made by means of the ma-trix method. Two methods are adopted in the calculation of the shaking force and shaking moment, one isdone by the constraint reaction of the flame-connected kinematic parts; the other is the inertialforces of all moving links.

针刺/缝合多尺度联锁复合材料Ⅰ型层间力学行为

为明晰缝合工艺对针刺结构复合材料Ⅰ型层间力学性能的影响,以石英机织布和石英纱线为原料,设计制备了针刺/缝合多尺度联锁织物及复合材料,采用Micro-CT对多尺度联锁织物结构进行表征,进一步研究了多尺度联锁复合材料Ⅰ型层间力学行为,同时建立了Ⅰ型层间断裂行为有限元分析模型,阐明了多尺度联锁复合材料的层间强化机制。研究结果表明:相比针刺复合材料,多尺度联锁复合材料的层间载荷值最大提高46.61%,临界能量释放率最大提高55.55%;在缝合矩阵不变的情况下,单束缝合纱线从100 tex增大到200 tex,最大破坏载荷提高了12.91%,临界能量释放率提高了17.8%;随着缝合矩阵增大,总植入量从800 tex增大到1600 tex后,最大破坏载荷提高了22.8%,临界能量释放率提高了47.3%;此外,多尺度联锁复合材料有限元模型的Ⅰ型层间断裂模拟结果与实验结果相吻合,最大误差仅为3.1%,建立的有限元模型可较为准确地预测多尺度联锁复合材料Ⅰ型层间失效行为。

基于双反射镜的2D-DIC变形测量系统开发

二维数字图像相关(two-dimensional digital image correlation,2D-DIC)在测量过程中不可避免地会出现相机光轴与测量表面非垂直,由此产生的离面位移而将导致较大的测量误差,同时在视场受限的环境中难以通过单台相机完成大范围的变形测量。有鉴于此,该文开发了基于双反射镜的2D-DIC变形测量系统,使用双反射镜成像缓解离面运动对2D-DIC的影响,通过可移动相机实现小视场下的图像采集,提出基于频域移位的高精度图像拼接方法,并改进了融合函数,最终获得试样的高分辨率图像。单轴拉伸实验结果表明,轴向应变的平均相对误差相比传统2D-DIC方法降低12.82%,测量分辨率提高约34.92%,验证了测量系统的可行性和有效性。

装配式桥梁板玻璃纤维混凝土-U形钢筋湿接缝受力与变形分析

为解决装配式桥梁板体系湿接缝处力学性能不稳定、易变形的问题,提出采用玻璃纤维混凝土-U形钢筋加强方案优化湿接缝性能,以雄安新区荣乌高速荣乌主线桥为背景进行研究。选取主线桥2个试验段(试验段A湿接缝采用普通混凝土-U形钢筋方案,钢筋点焊;试验段B湿接缝采用玻璃纤维混凝土-U形钢筋加强方案,钢筋满焊)进行梁板体系湿接缝性能试验,监测湿接缝处搭接钢筋力学响应及混凝土接触面变形特征,同时对长期运载及强降雨影响下的钢筋受力与混凝土变形进行监测。结果表明:长期运载下,试验段B横筋受力约为试验段A的一半,其中部纵筋承受外力远大于试验段A,边缘纵筋承受外力较少,试验段B稳定性更优;试验段B较试验段A在湿接缝部位变形量小,其稳定性及耐久性更优;强降雨阶段,试验段B较试验段A变形及力学响应波动程度更低,其抗渗能力、耐久性更优。由此可知基于玻璃纤维混凝土-U形钢筋加强方案的湿接缝构造在外力传导、抵抗变形方面具有较强稳定性,不易受恶劣环境影响。

基于PSD的分离式长导轨直线度测量方法研究

利用分段拼接测量方法能够将PSD激光准直测量系统测量范围扩大,相较于传统长导轨直线度测量方法,该方法可同时适用于连续型导轨和分离式超长导轨的直线度测量。首先,在(-5~+5) mm测量范围内,通过激光干涉仪分别测得激光准直测量系统的接收靶在水平和竖直方向上的位移,误差均优于±(1μm+1%H)。然后,在40 m范围内与激光准直测量系统的直线度测量精度进行对比,二者水平方向直线度误差相差0.06 mm,竖直方向直线度误差相差0.13 mm。最后,在70 m分离式超长导轨上,测得水平方向直线度为0.50 mm,竖直方向直线度为0.53 mm。该方法可迅速定位和调整直线度误差极值点位置,能够较为有效地解决分离式超长导轨的直线度装配调试问题。

面向三重版图曝光约束的详细布线算法

在进一步缩小特征尺寸的问题上,三重版图曝光技术(triplepatterninglithography,TPL)发挥着重要的作用.针对TPL中的版图分解问题,提出了一种基于TPL约束的详细布线算法.将版图分解问题转化为满足同色间距约束和最小间距约束的详细布线问题,使用网格编码的方法来满足2种间距约束;利用与2种间距约束相结合的Hannan网格来提升布线资源的利用率以及布线的速度;结合多源迪杰斯特拉算法进行多端线网的最短路径搜索;最后将布线结果进行版图分解,实现最小化冲突数量和缝合点数量的目标.算法在2.20 GHzCPU和32 GB内存的Ubuntu20.04环境下运行,使用2018年ISPD详细布线比赛的测试集.实验结果表明,与普通详细布线相比,可降低约60%的冲突数量以及70%的缝合点数量.

DB51/T 2589.1-2019《四川彝绣第1部分针法技艺》标准解读

本文阐述了DB51/T 2589.1—2019《四川彝绣第1部分针法技艺》标准的制定背景,对四川彝绣七大常用针法的名称、针法技艺进行了解读。该标准统一了四川彝绣针法名称及针法技艺,达到了保存和保护四川彝绣针法资料的目的,为更好地传承和传播四川彝绣技艺提供了保障。

面向青花瓷碎片图像的U-Net++拼接网络

针对现有图像拼接方法存在拼接处伪影以及非重叠区域内容失真,导致较低的准确性和鲁棒性的问题,提出一种基于U-Net++消除伪影的青花瓷碎片图像拼接方法.首先估计待拼接图像单应性矩阵;然后将单应性矩阵应用于结构拼接阶段,得到图像粗拼接结果;最后以图像粗拼接结果作为先验信息,在内容校正阶段改进现有的U-Net,利用U-Net++细化粗拼接结果,得到最终图像精确拼接.以青花瓷碎片图像数据集与相关经典方法进行实验的结果表明,在3个评价指标中,所提方法的峰值信噪比提高约13%,均方根误差降低约33%,均方误差降低57%左右;该方法具有较小的误差比,不仅能够提高图像拼接质量,而且表现出较好的鲁棒性.

清代苏绣服饰的艺术特色研究

清代苏绣服饰以精细雅致的艺术特色闻名,与清代历史文化密切相关。然而,学术界对其外在特色与内在成因的探讨尚不充分。研究以苏州大学博物馆实物样本和故宫博物馆数字化文物资源为基础,运用实地考察、定量分析、文献研究和数字化技术提取法,探讨了其艺术特色及成因。研究发现,精工苏绣针法支撑了纹样表现,清代染色技艺增添了色彩魅力。此外,纹样构图不仅反映了清代社会政治和思想变革,还体现了儒家文化的吉祥寓意。这些发现深化了对清代苏绣服饰艺术的理解,为博物馆清代苏绣服饰的研究提供了理论基础。

基于无人机及YOLOX视觉算法的大跨度钢结构吊装过程位移监测

在大跨度钢结构吊装施工过程中,节点位移及结构变形关系到吊装施工的安全和质量。对于传统接触式监测方法存在的耗时、耗力且维护费用高等问题,提出了一种以无人机为载体的非接触式监测方式。首先,针对大跨度钢结构吊装过程中无人机近距采集视角受限的问题,采用Harris图像拼接算法进行全景拼接,并与图像加权融合相结合,消除图像拼接中产生的不利光标及拼接缝,实现整体、高精度的大跨度结构图像的无缝拼接;其次,采用加入卷积块注意力机制(convolutional block attention module, CBAM)的YOLOX视觉算法解决复杂背景下不同像素面积的小目标图像识别、坐标提取和位移监测;最后,对四种不同检测模型进行对比评估,并通过对比实验室不同工况试验和实际工程验证该方法在施工环境下对大跨度钢结构测点位移监测的可行性。试验结果表明,加入CBAM注意力机制的YOLOX检测模型的平均精度及置信度均优于其他三种网络模型,且视觉识别的位移信息与Leica全站仪的误差均在亚毫米级内,满足实际工程精度的要求,实现了复杂背景下的小目标位移监测,具备较高的经济效益和广泛的应用前景。

局部编织技术的编织原理与应用

为了对局部编织的创新设计提供理论与技术支持,基于SDS-ONE APEX3岛精服装设计系统以纬平针为地组织设计局部编织花样色码,主要从编织与休止针数变化的角度介绍局部编织技术的编织原理,提出不加不减局部编织、减针局部编织与加针局部编织的工艺设计方法,并在电脑横机上编织出织片小样,进一步阐述局部编织技术在二维平面的嵌花色块拼接、镂空肌理的孔眼效应、三维立体的凹凸造型以及结构轮廓成形编织方面的应用。通过对比分析花样色码与织片小样,指出局编加减针规则与先后顺序、吊目方式、色纱组合等因素对局编织片外观的影响,对局部编织技术在针织创意花型开发与成形编织方面的应用具有指导意义。