Image Processing and Computing Environments For MathematicalApplications

该奖项将协助建立、加强和运作一个现代化的实验室设施，以支持两个主要领域的实验工作，即图像处理和开发用于数学应用的计算环境。图像处理项目包括图像编码、图像恢复和增强、数字滤波、纹理建模和识别、图像解释、计算机视觉和神经网络在图像理解中的应用。第二个项目的目标是开发一个软件环境，使自然科学家和工程师能够以高效和方便的方式解决问题。它涉及汇集最先进的计算工具，包括高级图形编程环境，自动检测向量和并行结构的语言和编译器，用于微分方程自动解的软件，并行线性代数包，集成计算机代数系统，执行图论操作的环境，以及编程实验室和常用程序和概念库。该项目基于伦斯勒在上述各个领域正在进行的工作，并将利用一台大型科学计算机、几个高性能图形工作站、一些Lisp环境/符号计算机器、人工智能工作站和必要的外围设备。

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.