Research on color image matching method based on feature point compensation in dark light environment

Image matching refers to the process of matching two or more images obtained at different time,different sensors or different conditions through a large number of feature points in the image.At present,image matching is widely used in target recognition and tracking,indoor positioning and navigation.Local features missing,however,often occurs in color images taken in dark light,making the extracted feature points greatly reduced in number,so as to affect image matching and even fail the target recognition.An unsharp masking(USM)based denoising model is established and a local adaptive enhancement algorithm is proposed to achieve feature point compensation by strengthening local features of the dark image in order to increase amount of image information effectively.Fast library for approximate nearest neighbors(FLANN)and random sample consensus(RANSAC)are image matching algorithms.Experimental results show that the number of effective feature points obtained by the proposed algorithm from images in dark light environment is increased,and the accuracy of image matching can be improved obviously.

Enhanced 3D Point Cloud Reconstruction for Light Field Microscopy Using U-Net-Based Convolutional Neural Networks

This article describes a novel approach for enhancing the three-dimensional(3D)point cloud reconstruction for light field microscopy(LFM)using U-net architecture-based fully convolutional neural network(CNN).Since the directional view of the LFM is limited,noise and artifacts make it difficult to reconstruct the exact shape of 3D point clouds.The existing methods suffer from these problems due to the self-occlusion of the model.This manuscript proposes a deep fusion learning(DL)method that combines a 3D CNN with a U-Net-based model as a feature extractor.The sub-aperture images obtained from the light field microscopy are aligned to form a light field data cube for preprocessing.A multi-stream 3D CNNs and U-net architecture are applied to obtain the depth feature fromthe directional sub-aperture LF data cube.For the enhancement of the depthmap,dual iteration-based weighted median filtering(WMF)is used to reduce surface noise and enhance the accuracy of the reconstruction.Generating a 3D point cloud involves combining two key elements:the enhanced depth map and the central view of the light field image.The proposed method is validated using synthesized Heidelberg Collaboratory for Image Processing(HCI)and real-world LFM datasets.The results are compared with different state-of-the-art methods.The structural similarity index(SSIM)gain for boxes,cotton,pillow,and pens are 0.9760,0.9806,0.9940,and 0.9907,respectively.Moreover,the discrete entropy(DE)value for LFM depth maps exhibited better performance than other existing methods.

Development of vehicle-recognition method on water surfaces using LiDAR data:SPD^(2)(spherically stratified point projection with diameter and distance)

Swarm robot systems are an important application of autonomous unmanned surface vehicles on water surfaces.For monitoring natural environments and conducting security activities within a certain range using a surface vehicle,the swarm robot system is more efficient than the operation of a single object as the former can reduce cost and save time.It is necessary to detect adjacent surface obstacles robustly to operate a cluster of unmanned surface vehicles.For this purpose,a LiDAR(light detection and ranging)sensor is used as it can simultaneously obtain 3D information for all directions,relatively robustly and accurately,irrespective of the surrounding environmental conditions.Although the GPS(global-positioning-system)error range exists,obtaining measurements of the surface-vessel position can still ensure stability during platoon maneuvering.In this study,a three-layer convolutional neural network is applied to classify types of surface vehicles.The aim of this approach is to redefine the sparse 3D point cloud data as 2D image data with a connotative meaning and subsequently utilize this transformed data for object classification purposes.Hence,we have proposed a descriptor that converts the 3D point cloud data into 2D image data.To use this descriptor effectively,it is necessary to perform a clustering operation that separates the point clouds for each object.We developed voxel-based clustering for the point cloud clustering.Furthermore,using the descriptor,3D point cloud data can be converted into a 2D feature image,and the converted 2D image is provided as an input value to the network.We intend to verify the validity of the proposed 3D point cloud feature descriptor by using experimental data in the simulator.Furthermore,we explore the feasibility of real-time object classification within this framework.

Temperature Effect on Light Concentration Silicon Solar Cell’s Operating Point and Conversion Efficiency

It is well known that temperature acts negatively on practically all the parameters of photovoltaic solar cells. Also, the solar cells which are subjected to particularly very high temperatures are the light concentration solar cells and are used in light concentration photovoltaic systems (CPV). In fact, the significant heating of these solar cells is due to the concentration of the solar flux which arrives on them. Light concentration solar cells appear as solar cells under strong influences of heating and temperature. It is therefore necessary to take into account temperature effect on light concentration solar cells performances in order to obtain realistic results. This one-dimensional study of a crystalline silicon solar cell under light concentration takes into account electrons concentration gradient electric field in the determination of the continuity equation of minority carriers in the base. To determine excess minority carrier’s density, the effects of temperature on the diffusion and mobility of electrons and holes, on the intrinsic concentration of electrons, on carrier’s generation rate as well as on width of band gap have also been taken into account. The results show that an increase of temperature improves diffusion parameters and leads to an increase of the short-circuit photocurrent density. However, an increase of temperature leads to a significant decrease in open-circuit photovoltage, maximum electric power and conversion efficiency. The results also show that the operating point and the maximum power point (MPP) moves to the open circuit when the cell temperature increases.

Angle Compensation and Asymmetry Effect of Light Diffracted by Millimeter Liquid Surface Slosh Wave

The angle compensation method is adopted to detect sloshing waves by laser diffraction, in the case that the wavelength of the sloshing waves is much greater than that of the incident light. The clear diffraction pattern is observed to be of asymmetry, involving orders, position and interval of the diffraction spots that are discovered during the light grazing incidence. It is found that the larger the angle of incidence is, the more obvious the asymmetry is. The higher the negative diffraction orders are, the smaller the intervals between spots are. On the contrary~ in the positive region, the higher the diffraction orders are, the larger the spot intervals are. The positive interval is larger than that of the same negative diffraction order. If the incident angle reaches 1.558 rad in the experiment, all positive diffraction orders completely vanish. Based on the mechanism of phase modulation and with the Fourier transform method, the relations between the incident angle and position, interval spaces, and orders of diffraction spots are derived theoretically. The theoretical calculations are compared with the experimental data, and the comparison shows that the theoretical calculations are in good agreement with the experimental measurement.

Synthesis of Polyfluorene-Polytriarylamine Block Copolymer with Emitting Part at Junction Point for Light Emitting Applications

A block copolymer consisting of polyfluorene (PF) and polytriarylamine (PTAA) functionalized with green emitting phenoxazine moiety at the junction point of two blocks was designed and prepared for electroluminescent application. PF homopolymer was synthesized by Suzuki coupling polymerization, and was reacted with brominated phenoxazine. In the presence of the resulting PF functionalized with phenoxazine, C-N coupling polymerization of 4-(4’-bromophenyl)-4’’-butyldiphenylamine was carried out to afford a triblock copolymer, PTAA-phenoxazine-PF-phenoxazine-PTAA (PF-Ph-PTAA). Two types of random copolymers were also synthesized with fluorene and phenoxazine (PF2) by Suzuki coupling polymerization for comparison. All the polymers were soluble in common organic solvents and readily formed thin films by a solution processing. Prepared polymers exhibited similar UV absorption and PL emission in chloroform solutions. In a film state, the existence of phenoxazine unit drastically changed PL spectra. Although the content of phenoxazine unit in PF-Ph-PTAA was relatively high (13 mol%), it showed similar PL spectrum to that of PF2(phenoxazine content, 0.2 mol%) indicating that phenoxazine unit is isolated in single polymer chain nevertheless the high content. EL device based on PF-Ph-PTAA showed green-emission, suggesting that emission sites predominantly located in the vicinity of phenoxazine moiety because of its shallow HOMO level.

Low-order Wavefront Error Compensation for Multi-field of Lithography Projection Objective Based on Interior Point Method

Low-order wavefront error account for a large proportion of wave aberrations.A compensation method for low order aberration of projection lithography objective based on Interior Point Method is presented.Compensation model between wavefront error and degree of movable lens freedom is established.Converting over-determined system to underdetermined system,the compensation is solved by Interior Point Method(IPM).The presented method is compared with direct solve the over-determined system.Then,other algorithm GA,EA and PS is compared with IPM.Simulation and experimental results show that the presented compensation method can obtained compensation with less residuals compared with direct solve the over-determined system.Also,the presented compensation method can reduce computation time and obtain results with less residuals compare with AGA,EA and PS.Moreover,after compensation,RMS of wavefront error of the experimental lithography projection objective decrease from 56.05 nm to 17.88 nm.

松辽盆地白垩系青山口组一段页岩生、排烃组分特征及页岩油相态演化

松辽盆地白垩系青山口组一段(青一段)页岩有机质热演化程度跨度大、烃类流动性差异强。页岩油相态分析预测是页岩油勘探开发的重要难题。用低成熟页岩样品开展封闭体系及半封闭体系有机质热解实验,根据生、排烃组分特征对滞留烃的轻烃散失进行补偿校正,研究了页岩油组分演化特征。结合中央坳陷区主要生油凹陷典型井埋藏史、热演化史,研究了页岩油相态演化规律,提出了轻质页岩油勘探有利区和开发压力保护条件。研究结果表明:地质条件下随着有机质成熟度的升高,页岩油组分中轻质组分比例不断增加、气体逐渐增多,相包络线从高露点温度、低泡点压力依次向低露点温度、高泡点压力演化。齐家-古龙凹陷青一段页岩油在嫩江组中期油藏向挥发油油藏转化,长岭凹陷青一段页岩油从嫩江组末期开始油藏向挥发油油藏转化,三肇凹陷青一段页岩油则始终为黑油油藏。无论是黑油油藏还是挥发油油藏,均为单一液相。松辽盆地中央坳陷区青一段页岩油挥发油油藏主要分布在齐家-古龙凹陷中心和长岭凹陷北部有机质成熟度(镜质体反射率Ro)为1.3%~1.6%、地层压力为12.2~22.4 MPa的区域。

生活者视角下村民参与生态治理多维机制构建——基于内蒙古B嘎查草原生态补偿实践

目前在北方草原牧区广泛推行实施的生态补偿政策仍延续以往政府主导、自上而下的管理模式。在此政策驱动下,当地居民的主体性、参与性和积极性缺乏有效发挥渠道,客观上影响了基层农牧区经济—社会—环境协调发展。本研究首先立足位于科尔沁沙地西北边缘的西辽河流域环境实践,运用生活环境主义理论,较为全面地剖析生态补偿政策所面临的难题及其社会根源;其次较为深刻地探讨在实现生态修复与乡村振兴双重目标下,通过激活重塑,创建现代共治共享多民族本土知识体系的重要性;最后力求深入探索政府主导、社区主位、村民主体的参与式多维机制构建的内在逻辑及技术路径。

圆结构光系统深孔圆度测量方法研究

圆结构光系统测量深孔(通孔)圆度时存在激光器、相机和深孔难以保持平行或同轴的问题,导致无法测量准确的圆截面,从而产生系统误差。搭建了基于圆结构光的测量系统,分析了系统误差的产生机理并提出了一种基于圆结构光系统测量圆度的方法,可对系统误差进行一定补偿:首先,获取待测深孔的内表面高分辨率三维点云,拟合点云轴线,通过刚体变换将三维点云变换到深孔轴线与相机光轴平行的位置;然后,选定一个测量截面,搜索该截面上的点和与该截面范围较近的点作为圆度评定点;最后,采用网格搜索算法完成圆度评定。测量实验的结果表明,该方法对于圆度误差的补偿效果良好,其中测量不确定度为4.78μm。

基于线结构光扫描的工件高精度三维测量方法

为了提高工业中对复杂轮廓工件的测量精度和效率,设计了一套高精度非接触三维测量系统,并提出了一种基于线结构光扫描的工件轮廓三维测量方法。首先,利用高精度相机和三轴移动平台采集线结构光图像。然后,通过基于差分区间的灰度质心算法,精确而高效地提取出线结构光中心线,并生成原始点云模型。接着,对采集到的点云数据进行必要的点云滤波和精简预处理。最后,将预处理后的点云数据与CAD模型精确配准,进行工件表面轮廓的测量与误差评定。实验结果表明:测量工件轮廓高度的绝对误差小于0.07 mm,相对误差小于0.5%。所提出的三维测量系统及方法测量误差较低,能够实现工件的高精度三维测量,具有一定的工业应用价值。

隔震支座骨架板平面度检测及误差补偿

针对机械加工行业隔震支座骨架板平面度检测损伤表面并且不能多个连续检测的问题,提出一种基于激光传感器和振动误差补偿的非接触平面度检测系统。首先利用激光传感器对骨架板表面进行扫描,并通过滤波和精简算法来优化骨架板点云;然后将运动平台的偏移量写入每个点云坐标,形成精确的骨架板点云数据;最后将传统最小二乘法升维,计算各测量点到拟合平面的偏距值得到平面度。实验结果表明:系统能够有效检测骨架板的平面度,解决了传统检测效率低并且含振动误差的问题,能够更好地适应自动化检测环境。

光笔视觉测量系统的精确测量研究

光笔视觉测量系统是以光笔为接触式辅助测量工具的一种便携式坐标测量系统,具有便携性好、测量范围大、精度高等优点。但在接触式测量过程中,记录的是测头中心坐标,需要对测头进行半径补偿。结合光笔式测量系统,提出一种针对散乱点云进行半径补偿的可行性方法。利用点云的网格化处理,寻找散乱点云中点的拓扑关系,得到局部点云的矩形拓扑网格。使用拓扑网格点进行NURBS曲面插值拟合,得到网格中心点的法向量。实验表明,该方法求得的法向量误差角度在0.5°左右,测头半径为2.5mm情况下,测量误差在0.030mm以下。

基于多点结构光扫描的工件定位方法

在自动化生产线工业机器人抓取工件作业中,工件定位方法直接影响作业质量、效率及系统成本。传统基于线结构光的工件定位方式通常存在专用性强、成本高等特点,难以在劳动密集型产业中推广应用。针对这一问题,利用KD-tree ICP算法,提出一种基于多点结构光扫描的工业机器人抓取工件定位方法。首先,利用模型点云和多点结构光原始点云进行粗配准;其次,提取待定位工件点云特征点,并拟合出工件边界;最后,利用模型边界点云和拟合出工件边界点云进行精配准。试验结果表明,该方法具有较高的定位精度及识别效率,满足工件抓取要求。

八髎穴齐刺联合红外偏振光治疗急性非特异性下腰痛临床研究

目的:观察八髎穴齐刺联合红外偏振光照射治疗急性非特异性下腰痛的临床疗效。方法:60例急性非特异性下腰痛患者随机分为观察组和对照组,每组各30例。两组患者均使用红外偏振光采用振荡模式照射针刺部位,1次/d;对照组采用常规针刺治疗,观察组采用八髎穴齐刺法针刺治疗,两组均治疗5 d。观察两组的临床疗效,比较两组治疗前后采用视觉模拟评分法(VAS)评价腰腿部疼痛程度,采用Oswestry功能障碍指数(ODI)评价腰椎功能,采用指地距离(FFD)评价腰部主动前屈受限程度,采用健康状况调查问卷SF-36在治疗前后评价患者的生活质量。结果:与治疗前比较,两组VAS评分、ODI评分和FFD评分均明显下降,差异有统计学意义(P<0.05),且观察组评分降低值均显著大于对照组,差异有统计学意义(P<0.05);与治疗前比较,两组SF-36评分明显提高,差异有统计学意义(P<0.05),且观察组评分明显高于对照组,差异有统计学意义(P<0.05)。观察组总有效率为96.67%(29/30),显著高于对照组的80.00%(24/30),两组差异有统计学意义(P<0.05)。两组均未出现明显不良反应。结论:以八髎穴齐刺针刺法联合红外偏振光照射治疗急性非特异性下腰痛疗效显著,在缓解患者疼痛及改善腰部前屈活动方面效果优于常规针刺方式,改善患者生活质量早期疗效明显。

基于深度学习的机载点云屋顶平面提取算法

为了准确提取不同类型建筑物屋顶点云的各个平面,采用度量学习的方式,将每个平面视为单独的实例,为每个平面上的点学习单独的高维深度特征。利用所提取的高维深度特征对平面点进行初步的聚类,通过简单的欧氏距离和特征空间距离进行综合度量将未聚类的点分配至各个平面;所提出的方法分别在合成数据集和公开的机载点云建筑物屋顶数据集RoofN3D上进行了训练和测试。结果表明,在合成数据集上,所提取的建筑物平面的准确率、召回率和F_(1)分数分别为0.990、0.998和0.994;在机载点云数据集RoofN3D上,所提取的建筑物平面的准确率、召回率和F_(1)分数分别为0.945、0.971和0.957。该方法不仅可以准确有效地提取出不同建筑物屋顶平面,且平面边缘非常准确,还可以准确区分建筑物屋顶平面内容和非平面内容,为建筑物3维建模提供重要帮助。

不同物料流对皮带机转载点的振动冲击分析与研究

选煤厂带式输送机转载点处两皮带有一定高度差,受上端面煤块大小、含水量等因素影响,会对皮带机造成不同程度的振动冲击,从而影响皮带机带身及托辊的使用寿命。为探究物料流对转载点振动冲击的影响,结合现场调研及相关理论,推出落料冲击的影响因素主要为物料流粒度级别和含水量。然后利用光纤振动传感器、数据采集卡等器材和Labview测试系统进行现场试验,将落料口下方带式输送机在不同物料流冲击下的振动信号进行采集和处理,试验结果表明,不同粒度物料流对转载点振动冲击不同,小粒度物料流对转载点的振动波形峰值为大粒度物料流的20%,自功率谱波形峰值为0.625%;不同含水量对转载点振动冲击不同,含水量少的物料流对转载点的振动波形峰值为含水量多物料流的60%,自功率谱波形峰值降低为45%。研究结果可为降低皮带机转载点振动冲击提供合理的方法。

基于结构光的铆钉凹凸量双目视觉检测方法

为了弥补飞机铆钉凹凸量的传统检测方式在精度、效率及稳定性方面的不足,提出了一种基于结构光的铆钉凹凸量双目视觉检测方法。首先通过工业投影仪将结构光投射到铆接表面,由双目相机采集投影图像。然后根据铆钉边缘特征提取出铆接区域,并采用改进的格雷码解相位方法计算铆接区域表面的相位信息。根据相位信息匹配特征点,利用视差原理计算出点云。最后通过点云数据处理,计算出铆钉的凹凸量。制作标准件并完成了凹凸量测量试验,测量误差在±20μm以内,重复测量标准差小于3μm,单个铆钉测量用时约2.2 s,能够满足现场测量精度和效率要求。

宽范围负载CL-LDO的设计

针对规模与功耗骤增的集成电路发展趋势,设计了一种可以提供宽范围负载电流的无片外电容型低压差线性稳压器(CL-LDO).为了解决宽范围负载电流与无片外电容等需求所带来的稳定性问题与瞬态特性问题,提出了动态零点补偿的方式与瞬态增强电路结构,既保障了整体电路在全负载范围内保持稳定,又实现了较好的瞬态特性.基于0.11μm CMOS工艺,完成电路设计、版图设计与仿真,仿真结果表明,在0~500 mA的负载范围内,整体环路增益可以达到68 dB;最小相位裕度为56°;当负载电流在1~500 mA之间发生跳变时(Δt=500 ns),输出过冲和下冲分别为56 mV和141 mV,建立时间分别为2μs和0.78μs;PSR为-67.2 dB@1 kHz,负载调整率为0.137μV/mA.

用分光计测三棱镜折射率光路图的MATLAB动画演示

建立了三棱镜光路图的数学模型,应用MATLAB绘制光路图,检验了模型的正确性.随着三棱镜的旋转,直观地演示了分光计中光路图和偏向角的变化过程,指出了最小偏向角.