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Proceedings Paper

Image understanding environment
Author(s): Robert M. Haralick; Visvanathan Ramesh
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Paper Abstract

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.

Paper Details

Date Published: 30 April 1992
PDF: 9 pages
Proc. SPIE 1659, Image Processing and Interchange: Implementation and Systems, (30 April 1992); doi: 10.1117/12.58404
Show Author Affiliations
Robert M. Haralick, Univ. of Washington (United States)
Visvanathan Ramesh, Univ. of Washington (United States)

Published in SPIE Proceedings Vol. 1659:
Image Processing and Interchange: Implementation and Systems
Ronald B. Arps; William K. Pratt, Editor(s)

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