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Proceedings Paper

An Expert System For Image Segmentation
Author(s): Joseph Shu; Herbert Freeman
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Paper Abstract

Probably the most critical problem in image understanding is the segmenting images into disjoint regions of uniform gray-tone or texture. This paper describes the design of a new image segmentation system which uses an expert-system approach for solving this problem. The system is composed of two parts: (1) an image processing tool set which processes a given image by localized brightness compensation and heuristic edge extraction, and (2) a knowledge-base controller which is composed of an inference engine, a rule base, and a hypothesis base. The localized brightness compensation preprocesses the input image under control of the knowledge-base controller to obtain improved image quality. The heuristic edge extraction obtains spatially-accurate, one-pixel-wide boundaries of uniform-property subregions. These boundaries are, then, encoded using specially designed codes which facilitate the application of rules for final region formation. The combined use of the image processing tools and the knowledge-base controller makes the segmented region boundaries one pixel wide, spatially accurate, without edge gaps, and without noisy micro-edges inside segmented regions. The paper is illustrated with results by applying the system to the segmentation of actual high-resolution aerial imagery.

Paper Details

Date Published: 18 January 1988
PDF: 13 pages
Proc. SPIE 0829, Applications of Digital Image Processing X, (18 January 1988); doi: 10.1117/12.942133
Show Author Affiliations
Joseph Shu, NYNEX Corporation (United States)
Herbert Freeman, Rutgers University (United States)


Published in SPIE Proceedings Vol. 0829:
Applications of Digital Image Processing X
Andrew G. Tescher, Editor(s)

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