Recognition Methodology: Algorithms Tgz Architecture

Robert M. Haralick

doi:10.1117/12.940006

30 April 1987 Recognition Methodology: Algorithms & Architecture

Robert M. Haralick

Proceedings Volume 0755, Image Pattern Recognition: Algorithm Implementations, Techniques, and Technology; (1987) https://doi.org/10.1117/12.940006
Event: OE LASE'87 and EO Imaging Symposium, 1987, Los Angeles, CA, United States

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.

Citation Download Citation

Robert M. Haralick "Recognition Methodology: Algorithms & Architecture", Proc. SPIE 0755, Image Pattern Recognition: Algorithm Implementations, Techniques, and Technology, (30 April 1987); https://doi.org/10.1117/12.940006

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