Image Processing and Computing Environments For MathematicalApplications

数学应用的图像处理和计算环境

• 批准号: 8805910
• 负责人: Joseph Flaherty
• 金额: $ 201.51万
• 依托单位: Rensselaer Polytechnic Institute
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-10-15 至 1994-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8805910&HistoricalAwards=false
• 关键词: Image; Processing; Computing; Environments; MathematicalApplications

This award is aiding in the establishment, enhancement and operation of a modern laboratory facility to support experimental work in two major areas, viz. image processing and development of computing environments for mathematical applications. The project in image processing includes work in image coding, image restoration and enhancement, digital filtering, texture modeling and discrimination, image interpretation, computer vision and applications of neural networks to image understanding. The goal of the second project is the development of a software environment in which natural scientists and engineers can solve problems in an efficient and convenient manner. It involves bringing together state-of-the-art computational tools including high- level graphical programming environments, languages and compilers that automatically detect vector and parallel structures, software for the automatic solution of differential equations, parallel linear algebra packages, integrated computer algebra systems, an environment for performing graph theoretic operations, and programming laboratories and libraries of frequently-used procedures and notions. The project is based on ongoing work at Rensselaer in each of the above areas and will utilize a large-scale scientific computer, several high-performance graphics workstations, some Lisp environment/symbolic computation machines, AI workstations and necessary peripheral equipment.

该奖项有助于建立，增强和运营现代实验室设施，以支持两个主要领域的实验工作。用于数学应用的计算环境的图像处理和开发。 图像处理中的项目包括图像编码，图像恢复和增强，数字过滤，纹理建模和歧视，图像解释，计算机视觉以及神经网络的应用中的工作。 第二个项目的目的是开发软件环境，在该环境中，自然科学家和工程师可以以高效和方便的方式解决问题。 它涉及将最新的计算工具汇总在一起，包括自动检测向量和并行结构的高级图形编程环境，语言和编译器，用于自动解决方案的软件，平行线性代数包，集成的计算机代数系统，用于执行图形的环境以及经常使用的程序和编程实验室和图书馆和编程实验室和库。 该项目基于上述每个领域的伦斯勒（Rensselaer）正在进行的工作，并将利用大型科学计算机，几个高性能的图形工作站，一些LISP环境/符号计算机，AI工作站和必要的外围设备。