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Proceedings Paper

Recognition Methodology: Algorithms Tgz Architecture
Author(s): Robert M. Haralick
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Paper Abstract

Computer recognition and inspection of objects is, in general , a complex procedure requiring a variety of kinds of steps which successively transform the iconic data to recognition information. We hypothesize that the difficulty of today's computer vision and recognition technology to be able to handle unconstrained environments is due to the fact that the existing algorithms are specialized and do not develop one or more of the necessary steps to a high enough degree. Our thesis is that there are no shortcuts. A recognition methodology must pay substantial attention to each of the following five steps: conditioning, labeling, grouping, extracting, and matching.

Paper Details

Date Published: 30 April 1987
PDF: 3 pages
Proc. SPIE 0755, Image Pattern Recognition: Algorithm Implementations, Techniques, and Technology, (30 April 1987); doi: 10.1117/12.940006
Show Author Affiliations
Robert M. Haralick, University of Washington (United States)


Published in SPIE Proceedings Vol. 0755:
Image Pattern Recognition: Algorithm Implementations, Techniques, and Technology
Francis J. Corbett, Editor(s)

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