MRI: Acquisition of Computing and Peripheral Hardware to Support Collaborative Research and Research Education in Imaging and Information Visualization

EIA-0215356 Ikhlas Abdel-QaderBradley Bazuin Karlis KaugarsAbhay SharmaLi Yang西密歇根大学MRI/RUI收购计算和外围硬件以支持成像和信息可视化的合作研究和研究教育来自RUI机构的该提案，开发基于以太网的成像和可视化基础设施，支持跨学科的研究项目，这些项目跨越各种应用领域，如信息可视化，成像科学，颜色分析，时变图像和实时图像处理。该实验室由一台服务器、多个工作站、相关摄像机、图像采集卡、输出设备以及选定的网络和图像处理软件组成，将与现有的部门、学院和校园网络连接，并将用于实现以下目标： 扩大研究调查，推进图像处理和信息可视化， 鼓励跨学科研究、研究培训和教育活动， 增加工业合作，增加一个真实的世界问题环境， 支持研究生和本科生相关课程的教学，如模式识别，计算机 图形和数字成像，以及 吸引研究生和本科生阶段的妇女和少数群体从事研究项目。基础设施将为三个研究小组的以下项目提供服务： 信息可视化与数据挖掘组。大型关系数据集的可视化探索与挖掘B.算法可视化交互式文档管理关联规则的可视化2. 图像可视化、颜色测量和颜色分析组A。数字成像中的彩色再现B. 用傅里叶理论分析CCD成象系统的基本原理3. 实时图像处理和模式识别组。利用小波变换进行目标跟踪一种基于动态场景的综合图像分析算法C.伽马射线天文学中的共焦显微镜和图像分析D。智能交通系统的无线视觉E.路面图像分析系统

EIA-0215356Ikhlas Abdel-QaderBradley BazuinKarlis KaugarsAbhay SharmaLi YangWestern Michigan UniversityMRI/RUI Acquisition of Computing and Peripheral Hardware to Support Collaborative Research and Research Education in Imaging and Information VisualizationThis proposal from a RUI institution, developing an Ethernet-Based imaging and visualization infrastructure, supports interdisciplinary research projects that span a variety of application areas such as Information Visualization, Imaging Science, Color Analysis, Time-Varying Images, and Real-Time Image Processing. The laboratory, consisting of one server, multiple workstations, associated cameras, frame grabbers, output devices, and selected network and image processing software, will be bridged to existing departmental, college, and campus networks, and will be used to accomplish the following goals: Expand research investigations advancing image processing and information visualization, Encourage interdisciplinary research, research training, and educational activities, Increase industrial collaboration adding a real world problem environment, Support graduate and undergraduate instruction in related courses such as Pattern Recognition, Computer Graphics, and Digital Imaging, and Attract women and minority groups at both graduate and undergraduate levels to pursue research projects.The infrastructure will service the following projects within three research groups:1. Information Visualization and Data Mining GroupA. Visual Exploration and Mining of Large Relational DatasetsB. Algorithm VisualizationC. Interactive Document ManagementD. Visualization of Association Rules2. Image Visualization, Color Measurement, and Color Analysis GroupA. Color Reproduction in Digital ImagingB. Fundamental Analysis of CCD Imaging Systems Using Fourier Theory3. Real-Time Image Processing and Pattern Recognition GroupA. Utilizing Wavelets for Target TrackingB. An Integrated Image Analysis Algorithm from Dynamic ScenesC. Confocal Microscopy and Image Analysis in Gamma-Ray AstronomyD. Wireless Vision for Intelligent Transportation SystemE. Pavement Surface Image Analysis System