Image understanding environment
Robert M. Haralick, Visvanathan Ramesh · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1992
We describe the Image Understanding Environment (IUE) designed by the IUE committee consisting of members from General Electric, Stanford University, Columbia University, University of Massachusetts, Amerinex AI Inc, Georgia Tech, SRI International, Advanced Decision Systems, University of Southern California and University of Washington. The primary purpose of the IUE is to facilitate exchange of research results within the Image Understanding community. The IUE will serve as a conceptual standard for IU data models and algorithms and will facilitate code sharing and performance evaluation of new techniques. It will also help in tracking progress in algorithm improvements. Object-oriented principles are used in our approach to the design of the IUE. The overall specification of IUE objects consists of the specifications of classes and class hierarchies for various IU concepts such as: images, image features, geometric features, curves, surfaces, 3D objects, sensors, etc. This paper discusses the design details of IUE curve objects, the motivation behind the object choices, and the class hierarchies.