基于多幅图像的有效点扩散函数的高精度测量

将图像融合以及高精度测量方法应用于天文图像处理,对图片进行处理得到有效点扩散函数,并将有效点扩散函数拟合星像,得到星体的位置与光度信息．结果表明, 方向平均定位精度为0．036 pixel,Y方向平均定位精度为0．O44 pixel,平均测光精度达到0．032 magnitude,测量结果验证了该算法的有效性．     

Piecewise linear mapping functions for image registration

A new approach to determination of mapping functions for registration of digital images is presented. Given the coordinates of corresponding control points in two images of the same scene, first the images are divided into triangular regions by triangulating the control points. Then a linear mapping function is obtained by registering each pair of corresponding triangular regions in the images. The overall mapping function is then obtained by piecing together the linear mapping functions.     

Stereo effect of image converted from planar

Research on planar-to-stereo image conversion has significant theoretical and practical implications for image processing. In this paper we use a method which segments an image into sub-blocks to perform this kind of conversion; parameters such as random variables are used for conversion control. We use two quantitative criteria, cross-entropy and root-mean-square error, to evaluate the stereo effect. Furthermore, the stereo effect that the random variables create is discussed. The results of the experiment show that, (i) when all random variables have the same distribution, different values of these random variables only slightly affect the stereo effect; and (ii) when different distributions are applied to the random variables, the cross-entropies or root-mean-square errors are slightly different, which indicates different distributions have a small influence on the stereo effect. Generally, we recommend normal distribution for better stereo effect in most cases.     

一种视频图像序列中运动对象的分割与跟踪算法

本文提出了一种视频图像序列中运动对象的分割与跟踪算法。该算法通过Canny算子检测出差帧图像的边缘信息,并结合当前帧与背景帧的边缘图像,提取出运动对象。在后续帧中通过建立前帧感兴趣运动对象与当前帧中各运动对象的帧间向量来跟踪当前帧中感兴趣的视频对象。实验结果表明,该算法可行,而且由于该算法简单、计算复杂度小,能很好地满足实时监控系统中对感兴趣运动对象的提取与跟踪。     

指针式仪表示值识别系统研究

指针式仪表识别系统采用机器视觉技术和数字图像处理算法,实现了对指针式仪表示值的自动识别.使用图像差影法、自适应阈值分割算法和最小二乘法进行圆心拟合;提出区域分割方法及中心投影法,对表盘图像进行分块处理,提取表盘刻度,快速识别出表盘指针所处位置.实验表明,采用该系统的识别值与目测值的最大偏差为0.16μm,最小偏差为0.10 μm,检定时间缩短为原来的1/1000,提高了检定效率、检定精度和检定结果的准确性.     

FRICTION LOSSES FOR FLOW OF SLURRIES IN PIPELINE BENDS,FITTINGS, AND VALVES

ABSTRACT

Resistance coefficients for flow of suspensions of well defined glass beads of narrow size fractions in 1-inch and 2-inch straight pipes, in standard 45^°, 90^° and 180^° bends, in 90^° smooth bends of various curvature radii, and also in gate and globe valves were measured. The measurements were made for two sizes of fine glass beads, -325 mesh and -200-325 mesh, covering wide ranges of turbulent Reynolds number and solids concentrations from 0 to 50 weight percent.

These friction loss data were analyzed with regard to the effects of Reynolds number and suspended solids concentration, and the calculated resistance coefficients were compared with those estimated from available design procedures recommended for turbulent single-phase Newtonian flow. Within the range of particle sizes examined in this work no particle size effects could be discerned. The effects of Reynolds number and suspended solids concentration on the friction loss measurement were calculated.     

制造企业基于Internet的设备远程诊断与维护系统研究

介绍了一个用于汽车发动机自动生产线的远程监控与诊断系统的结构与功能,对系统实现的有关关键技术进行了探讨,并给出了运行实例。     

Hadoop分布式集群的自动化容器部署研究*

针对Hadoop集群部署方式过程繁琐复杂、耗时费力、运维难度大,并且不利于集群的快速扩展的问题,提出一种结合Docker容器化技术快速、简单、灵活部署集群的解决方案。该方案综合利用了Docker在应用分发和Ambari进行集群管理的优势,把Ambari及其运行环境和配置构建成Docker Image,并把多节点容器的运行和Hadoop的部署过程写成Shell脚本。只需一条命令,即可实现跨平台的任意节点Hadoop集群的自动化安装部署。实验证明,该方案简单可靠并极大的提高了集群部署的效率。这有利于科研和数据分析人员将更多精力用于其他相关工作。     

Delving deeper into the whorl of flower segmentation

We describe an algorithm for automatically segmenting flowers in colour photographs. This is a challenging problem because of the sheer variety of flower classes, the variability within a class and within a particular flower, and the variability of the imaging conditions – lighting, pose, foreshortening, etc.     

一种针对图像模糊的无参考质量评价指标

在成像模型的基础上,分析了图像模糊的原因,提出了一种为图像构造参考图像的方法,进而将结构相似度(SSIM)评价方法引入到无参考图像质量评价中,提出一种无参考结构清晰度(NRSS)的新的无参考图像质量评价方法,将其用于对模糊图像的质量评价。该方法通过低通滤波器来构造参考图像,通过计算原始图像与参考图像的结构相似度值来评价原始图像质量,很好地结合了成像系统的数学模型和结构相似度评价方法的优势,实验结果表明无参考结构清晰度评价指标能够给出和主观评价方法以及其余有参考评价方法一致的结果。