基于差分图像的多尺寸形态滤波在X射线影像系统的应用

新型低强度X射线影像系统主要是由平板式单近贴静电聚焦X射线像增强器和CCD数据采集系统构成.文章简述了低强度X射线影像系统的图像噪声来源和特点,并根据图像噪声的特点,先进行多帧叠加平均预处理,再进行数学形态学滤波.区别于传统的形态滤波方法,在多尺寸形态滤波的基础上,引入差分图像的概念,先得到一组包含不同尺寸的噪声和图像信息的差分图像,将各个差分图像应用小波变换去噪后,与最后一级形态滤波平滑的图像相加,就得到了既去除噪声又保留图像细节的目标图像,通过对峰值信噪比的计算,表明该方法能取得较好效果.     

逐级填充式沥青混合料粗集料骨架级配设计

沥青混合料的级配是影响沥青路面使用性能的主要因素,而粗集料的骨架是影响级配的首要因素。通过集料逐级填充试验以及粗集料间隙率VCA和骨架强度CBR双控制指标来分析粗集料各粒径之间的相互作用,且采用均匀设计和灰色系统理论分析确定粗集料的关键粒径,推荐粗集料各粒径含量范围。结果表明,逐级填充式沥青混合料粗集料骨架级配与粗集料间隙率VCA和骨架强度CBR之间具有良好的相关性。     

骨架密实型水泥稳定碎石基层抗裂性分析和应用

骨架密实级配水泥稳定碎石与常规级配相比,具有较高的密度,较小的含水量,嵌挤形成的强度大,并具有较好抗裂性能和力学性能,能预防沥青面层的缩裂,提高了路面的承载力和耐久性。因此骨架密实型水泥稳定碎石具有较好的发展前景。     

基于关键点的时间序列模式表示

时间序列包含的数据量大、维数高、数据更新快,很难直接在原始时间序列上进行数据挖掘.借鉴时间序列线性分段的基本思想,提出了一种基于关键点的分段线性表示法,用关键点组成的直线段近似描述时间序列.将关键点作为时间序列的分割点,反映时间序列的主要特征,降低时间序列的维数,使整体误差达到最小.     

在思考和探索中建设新时期居住区

通过对现有居住建设当中存在有关问题的分析与思考,场所－文脉理论和方法,建立居住区立体道路憎爱分明架,重构居住区外部空间。并介导公众参与意识在居住区建设过程中能够得以体现。     

Digital Mock-up Technology in Product Development and Research

1 Introduction Digital mock-up(DMU)technologyis a set of integratedtechnologies built onthe application of informationtechnology throughout the complete product development process .Based onthe computer model of digital prod-ucts ,Engineers can do their design works fromthe first stage of product designtoindustrial design and processplan design. The three-di mensional mathematical models replace the original physical prototype in the digitalmode si mulation,and check the original design or i…     

三维网格模型局部骨架交互式提取方法研究

利用种子生长算法获取模型拟提取骨架局部区域,然后在局部区域首尾处交互确定出初始截平面,并自动插值出中间的等分截平面,最后求解几何截面与局部区域网格的截交线,将截交线的几何中心(即骨架点)顺序连接即生成局部骨架。实验表明该方法将人机交互与自动插值相结合生成截平面,算法简单,交互方便,易于控制,并且得出的模型局部骨架较精确。     

Analytical solutions for characteristic radii of circular roadway surrounding rock plastic zone and their application

In the non-uniform stress field, the surrounding rock plastic zone of the circular roadway shows different shapes under the different confining pressure conditions. Based on the boundary shape characteristics of the plastic zone, the characteristic radii of the plastic zone were proposed, namely the horizontal,longitudinal and medial axis radii, which could reflect the plastic zone shapes characteristics and classify the sizes of the key parts. On the theoretical basis of elastic-plastic mechanics, analytical solutions for the characteristic radii were obtained by theoretical deduction, and the relationships between the characteristic radii and key influencing factors were analyzed. Finally, the evaluation criterion of the circular roadway surrounding rock plastic zone shapes, evaluation criterion of the location of potential hazards caused by the roadway surrounding rock and evaluation critical points of roadway dynamic disasters based on characteristic radii were proposed. This work could provide a theoretical basis for stability analysis of the surrounding rock, support design, and guide the prevention and control of dynamic roadway disasters.     

A study of decoupling with skeleton matrix in two‐degree‐of‐freedom generalized minimum variance control

There are many multi‐input multi‐output (MIMO) systems in chemical plants, and they have multiple time delays of different length in each input and output pair. This paper explains a two‐degree‐of‐freedom (2DOF) control system based on generalized minimum variance control (GMVC) for MIMO systems. It can improve the tracking performance with respect to the reference signals and the response properties for the disturbance. The states between the sampling period can be expressed by using the modified z transform to take account of multiple time delays. Additionally, a tracking controller is designed to decouple the plant. © 2011 Wiley Periodicals, Inc. Electr Eng Jpn, 176(1): 28–36, 2011; Published online in Wiley Online Library ( wileyonlinelibrary.com ). DOI 10.1002/eej.21046     

基于Matlab的数字散斑干涉图像处理

数字散斑干涉技术(DSPI)是一种高精度的光学测量技术,它适用于物体的形变及位移测量。因为其具有较高的测量精度,所以在航空航天、工业检测和生物医学等精度要求较高的领域都得到了广泛的应用。在数字散斑干涉技术中,条纹图像的处理是十分重要的。本文介绍了利用Matlab对散斑图像进行处理的各种方法和实际效果,包括令两幅图灰度值相减得到条纹图,图像的灰度增强处理,滤波处理,二值化处理和条纹的细化处理,最后提取出较清晰的条纹骨架线,为后续处理工作提供了基础。