MRI: Acquisition of Instrumentation Systems for Education and Research in Image Processing and Understanding

工程学院在新泽西学院致力于通过建立国家的最先进的实验室设施，为教育和研究奠定坚实的基础。该项目包括在学院增加一个图像处理理解实验室，这将使图像处理的教学和研究，以及教师在图像理解和计算机视觉领域的研究。拟议的实验室基础设施包括多处理器计算机工作站、存储服务器和备份、图像采集和复制设备以及计算机托管的数字信号处理板;所有这些都通过具有无线功能的高速网络连接。所有的支持软件和不间断电源使这个设备基础设施更加完善。 智力优势：收购拟议设备将使PI能够建立一个研究计划，能够解决与算法开发相关的问题，以及图像处理和计算机视觉算法的最佳实施。具体的推力领域的目标，研究将首先集中在彩色纹理图像分割算法的优化实施，通过使用多光谱随机场功能集在多处理，网络化和非网络化的计算环境。由于随机场特征的信息丰富的性质，通过使用这些特征解决的图像处理和计算机视觉问题对工业和国防感兴趣。此外，该实验室还将用于研究医学和生物技术图像处理和机器人领域问题的解决方案。后者的一个例子是不同的拓扑系统配置，用于远程处理由机器人或机器人网络获得的图像。成立国家-艺术图像处理和理解设施到本科课程和数字图像处理课程将使学生获得更深入的了解到一系列图像处理程序和算法，通过获得坚实的理解和反馈既令人欣慰又鼓舞人心。理论和设计的整合是学生在学院接受均衡工程教育的基石之一。学生高级设计项目的质量将大大提高，通过访问图像处理理解实验室进行评估，原型设计和测试与该领域相关的新概念的实施，并与他们的项目密切相关;将有足够的机会让本科生参与研究。通过PI参与不同的少数群体倡议，设想了许多涉及实验室的外联活动。由于图像处理的视觉性质，这一知识体系以一种简化的方式吸引了少数民族和K-12学生学习科学，技术和工程。通过建立关系，PI和南佛罗里达大学的研究人员之间的合作也是可以预见的。

The School of Engineering at The College of New Jersey is committed to building a solid foundation for education and research through the establishment of state-of-the-art laboratory facilities. This project consists of the addition of an Image Processing & Understanding Laboratory at the College, which will enable the teaching and research of image processing, as well as faculty research in the areas of image understanding and computer vision. The proposed laboratory infrastructure consists of multiprocessor computer workstations, storage server and backup, image acquisition and reproduction equipment, and computer-hosted Digital Signal Processing boards; all connected over a high speed network with wireless capabilities. All the supporting software and uninterruptible power supplies complete this equipment infrastructure. Intellectual Merit: The acquisition of the proposed equipment will allow the PI to establish a research program capable of addressing issues related to algorithm development, and optimal implementation of such algorithms, for image processing and computer vision. Specific thrust areas to be targeted by the research will initially focus on the optimized implementation of color textured image segmentation algorithms via the usage of Multispectral Random Field feature sets in multiprocessing, networked, and non-networked compute environments. Due to the information rich nature of Random Field features, image processing and computer vision problems addressed by the usage of these features are of interest to industry and defense. In addition, the laboratory will be used to research the solution to issues in the areas of medical and biotechnological image processing and robotics. An example of the latter is the different topological system configurations for the remote processing of imagery obtained by a robot or a network of robots.Broader Impacts: Incorporation of state-of-the-art image processing and understanding facilities into undergraduate curricula and Digital Image Processing courses will allow students to gain deeper insight into a host of image processing procedures and algorithms by obtaining a solid understanding and feedback that is both gratifying and motivational. Integration of theory and design is one of the cornerstones of the well-balanced engineering education received by students at the College. The quality of student senior design projects will be greatly enhanced through access to an Image Processing & Understanding Laboratory for evaluating, prototyping, and testing the implementation of novel concepts related to the field and germane to their projects; and there will be ample opportunities for involvement of undergraduate students in research. Through the PI's involvement with different minority initiatives, many outreach activities involving the laboratory are envisioned. Due to the visual nature of image processing, this body of knowledge lends itself, in a simplified way, to serve as an attractor of underrepresented minorities and K-12 students to the study of science, technology, and engineering. Through established relationships, collaboration between the PI and researchers at the University of South Florida is also envisioned.