在线判断烧结矿烧结点的图像识别法

依据数字图像处理和神经网络理论提出了对烧结矿烧结终点在线判断的一种图像识别方法。以马钢第二烧结厂为研究背景,通过图像采集系统,从烧结机机尾摄取断面图像并进行处理,取得合理表征烧结终点的特征参数,构造改进的BP神经网络分类器,从而实现在线判断烧结矿烧结终点。     

基于网络的煤矿井下视频监控系统

本文应用网络摄像仪设计了一套基于网络的井下视频监控系统,给出了系统总体结构图,并详细介绍了系统的结构、功能和特点。系统外客户机可以通过矿局域网访问网络摄像仪或者网络硬盘录像机,查看实时图像或者调取历史画面。     

分布式木材干燥计算机控制系统

介绍一种以单片机为从机控制器的基于分布式的木材干燥计算机控制系统的设计方法。给出了系统的总体框图，从机的硬件结构图及主、从机的软件结构图．     

特大图像快速浏览解决方案研究及实现

如何实现特大图像快速浏览是航测图像应用中的关键问题之一。主要从实现原理、算法流程、快速显示技术三方面讨论了这一问题,给出了以图像动态显示、文件流和双缓冲使用为主要技术的解决方案,介绍了一个特大图像的快速浏览实例系统MONSTERSee。     

红外热像仪检测诊断系统电路设计与实现

为实现对红外热像仪设备的性能检测和故障诊断,促进红外系统检测设备的国产化,设计了红外热像仪检测诊断系统的电路单元;以工控机为核心,由红外平行光管、黑体及电路系统共同构建了检测诊断系统;通过图像采集卡对被测设备的输出图像进行采集,由工控机实现对图像的分析和处理,计算NETD、MRTD等关键指标;设计电信号激励与检测单元,为被测电路提供激励信号和输出响应的采集分析,实现对电路系统的指标检测和故障诊断;实验测试表明,该检测系统电路达到了设计指标要求;目前,该系统已成功应用于某小型红外系统的测试.     

基于Delphi＋Access的会议签到系统设计及实现

介绍一种基于Delphi＋Access的会议签到系统的设计及实现方案,并给出了相应的系统结构图与软件流程图和部分程序源代码。     

基于TMS320C6205的高速PCI存储系统的设计

为了能及时存储高速数据,PC I存储是一种行之有效的方法。以开发的实际系统为背景,详细论述了DSP+PC I结构的数据存储系统硬件、软件设计方案及实现方法。给出了系统结构图和PC I接口的内部结构图。实验表明:本系统具有通用性和实时处理能力。     

基于NOISⅡ的高清图像处理系统的设计

介绍一种基于FPGA的高清图像处理系统。该系统以NOISⅡ软核处理器为主控制器,采用IP核模块的设计方法,运用快速中值滤波算法对图像进行处理。给出算法的FPGA硬件实现和时序仿真图。实验结果表明,该系统能够稳定地用在各个高清图像的处理环境中。     

水利闸站监控系统的设计与实现

本文主要介绍水利闸站监控系统的设计和实现.文中给出了监控系统控制方案结构图,在模拟监控技术的基础上,采用嵌入式视频服务器AXIS2400,通过以太网构成数字监控网络系统,实现对水利设施的远程监控.该系统已应用于江苏省沙集水利闸站,图像清晰稳定,运行效果良好.     

基于手机平台的智能火灾报警系统设计研究

传统的火灾报警系统多采用警报铃声或是红外图像的办法实现火灾的报警,这些方式往往存在着及时性差,受环境和温度影响比较大的缺点,论文针对传统火灾报警系统的问题,给出了一种以3G网络做为传输媒介,利用手机短信作为报警手段的智能系统。论文给出了火灾报警系统的系统结构图,探讨了火灾信号在网络中的传输方法,并给出了火灾报警系统服务器的工作流程。     

基于Visual Basic.net的显微金相图像检测

Visual Basic.net是微软推出的Visual Basic的最新版本，具有强大的图形图像处理功能。本文介绍了基于数字图像处理的用Visual Basic．Net实现金相显微图像检测的编程技术，并应用于对石墨颗粒度及形状表征各项指标的自动定量测量。     

Linewidth design rules for microstructures manufactured in PMMA resist using X-ray LIGA

During the past decade, individual simulation modules for the LIGA process have been developed, such as the power spectrum of the X-rays available from a given synchrotron, the effect of various components in the beam line, the image structure in the resist and image development. This has lead to an understanding of the parameters affecting the basic dimensional relationship between the mask and the 3D image in the resist itself. The commercialization of X-ray LIGA now requires knowledge of the parameters affecting the production engineering of micro devices. Foremost among these parameters are the manufacturing tolerances arising from variations in key microfabrication steps. This paper seeks to integrate the various physical simulation models into a single interactive program, whereby the design engineer can see the effect of different synchrotron output spectra, different beamline constructions and different resist parameters on the dimensions of the planned 3D microstructure. A novel approach to estimating the dimensional tolerances to be expected with large scale production is developed and comparison made with data available from the literature. Predicted results from using a particular synchrotron with a beamline designed to approximate to a “standard” exposure spectra at the rest surface are calculated, showing the microstructure shape and tolerance expected in large scale production. From these data a basic set of equations are established from which “Linewidth Design rules for LIGA” can be established. The steps following definition of the resist structure, for example electrodeposition, injection moulding or hot embossing, are not studied here.     

基于平面几何处理的贝氏体组织分割

为了保证贝氏体组织识别的准确度,提出了一种基于平面几何和梯度加掩模的分水岭相结合的贝氏体分割技术。首先应用平面几何算法对梯度图像进行预处理。通过考察梯度图像中各像素点与其附近采样点间曲率变化情况,来判断考察点是否为贝氏体组织,滤除组织中的非贝氏体。用梯度加掩模的分水岭方法对预处理后的梯度图像进行分割。实验结果证明,提出的算法有效抑制了非贝氏体组织的影响,避免了过分割,提高了贝氏体组织的计算机自动识别的准确性。     

Estimation of the degree of hydration of concrete through automated machine learning based microstructure analysis – A study on effect of image magnification

The scanning electron microscopy (SEM) images are commonly used to understand the microstructure of the concrete. With the advancements in the field of computer vision, many researchers have adopted the image processing technique for the microstructure analysis. Most of the previous methods are not adaptable, non-reproducible, semi-automated, and most importantly all these methods are highly influenced by image magnification. Therefore, to overcome these challenges, this paper presents a machine learning based image segmentation method for microstructure analysis and degree of hydration measurement using SEM images. In addition, the authors looked into the impact of magnification of SEM images on the model accuracy and classifier training for the degree of hydration measurement considering two scenarios. First, the image segmentation was performed using a classifier of specific magnification, and then a common classifier is trained using the image of different magnification. The results show that the Random Forest classifier algorithm is suitable for microstructure analysis using SEM images. Through the statistical analysis, it has been proved that there is no significant effect of magnification on model training and accuracy for the degree of hydration measurement. So, a single classifier can be used to process the images of different magnification of a specimen which reduces the effort of training and computational time. The proposed method can generate highly accurate and reliable results in a shorter time and lower cost. Moreover, the findings in this research can be useful for researchers to determine the optimum magnification required for the microstructure analysis.     

Construction of dynamic three-dimensional microstructure for the hydration of cement using 3D image registration

Microstructure is one of the most important research issues in the field of cement hydration. The absence of imaging dynamic three-dimensional microstructure influences the investigation of cement hydration. Furthermore, it is impossible to confirm computer hydration models from real data perspective due to the lack of images of dynamic 3D microstructure. The evolution of the three-dimensional microstructure cannot be observed in situ easily. This article proposes an image registration-based approach to capture dynamic three-dimensional microstructure, whose original images are collected using microtomography. This is the first time that the dynamic 3D microstructure is imaged and analyzed for the hydration of cement. It allows imaging dynamic 3D microstructure for hydrating cement without using any extra equipment. Our research results indicate that the dynamic microstructure is captured easily with low cost and good precision.     

微结构网点的半色调信息隐藏技术

目的 基于阈值矩阵的加网方法设计出具有微观防伪功能的艺术型网点,利用半色调信息隐藏技术将隐藏信息载入到由微结构网点组成的色版中,研究微结构网点在信息隐藏中的应用价值。方法 利用改进后的阈值矩阵对要加载隐藏信息的色版进行微结构加网,完成各色版的半色调处理,将隐藏信息嵌入到微结构加网的色版中,利用参数匹配的解锁工具完成信息的提取,并评价信息的隐藏和提取效果。结果 通过信息的隐藏和提取实验,主观测试发现无论是单色版还是合并色版,微结构网点对信息隐藏的视觉保密性效果都比普通网点的隐蔽性好,客观结构相似度的数值计算结果都达到了0.995以上,比普通隐藏结果更佳,而且显隐能够达到信息清晰完整的再现效果。结论 该防伪方法能够在不增加成本来的条件下提高经济价值较高的印刷品和包装品的防伪标准、效率和附加价值,尤其在有价证券、护照、票据等印刷品、医药食品包装和电子影像出版产品的包装防伪方面具有广阔的应用前景与价值。     

基于特征融合的维吾尔文笔迹鉴别

针对采用纹理方法鉴别维吾尔文不稳定的问题,提出一种与文本无关、特征融合的笔迹鉴别方法,融合的特征包括网格窗口微结构特征和笔迹曲向特征。所提方法从笔迹原始图像提取笔画边缘,对笔迹的边缘图像建立大量局部窗口模型,通过扫描边缘图像获取融合特征结构的概率密度分布,使用多种距离公式计算概率密度向量间的距离。在实验笔迹容量大小为80的笔迹库上进行实验得到的鉴别率为89.2%。所提方法能很好地刻画笔迹的局部书写变化趋势和笔画的曲向,采用概率密度分布来统计笔迹的网格窗口微结构特征和曲向特征,鉴别效果达到了预期值。     

Homogenization of Periodically Varying Coefficients in Electromagnetic Materials

In this paper, we employ the periodic unfolding method for simulating the electromagnetic field in a composite material exhibiting heterogeneous microstructures which are described by spatially periodic parameters. We consider cell problems to calculate the effective parameters for a Debye dielectric medium in the case of a circular microstructure in two dimensions. We assume that the composite materials are quasi-static in nature, i.e., the wavelength of the electromagnetic field is much larger than the relevant dimensions of the microstructure.     

半色调加网防伪应用

描述了一种利用调频加网进行半色调图像防伪。提出一种通过网点扩大补偿的分析进行防伪的方法。该方法比现有的防伪方法更简便易行。     

大脑多模态成像技术定量研究进展

现代医学成像技术是脑科学研究和脑疾病诊断的利器,不同模态的成像技术提供不同的信息可协同表征脑部结构和功能。其中定量成像技术着眼于和生理、物理相关的内在参量,旨在提供更精准的信息。本文以正电子发射扫描成像(positron emission tomography,PET)和磁共振成像(magnetic resonance imaging,MRI)两种生物医学成像模态为例,针对性地讨论它们在定量刻画大脑微观结构和功能领域的发展状况,目前尚存的关键技术问题和未来的可能发展方向。围绕定量MRI,从表观参数定量开始,介绍其中的单参数定量的现状和不足,以及目前多参数同时定量的发展动态;围绕微观参数定量,介绍针对髓鞘成像的两大方法,包括多组分T2定量和基于超短回波时间髓鞘直接成像,介绍磁共振定量成像特别是磁共振扩散成像的可比较性和可重复性研究。围绕定量PET,从最广泛的代谢动力学模型——房室模型开始介绍,对生理参数与示踪剂摄取量的关系进行了详细描述,展开到定量的误差来源包括模型选择、图像质量以及输入函数测量误差3个方面进行分析,介绍最新进展包括硬件设备、图像重建方法以及定量分析方法。最后对MRI定量、PET定量以及PET/MRI定量领域进行了展望。