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Proceedings Paper

Methodologies For Understanding And Evaluation Of Image Processing Algorithms
Author(s): Michael E. Bazakos; Ngoc-Chi Vu
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Paper Abstract

In recent years a critical need has surfaced for the development of methodologies on the evaluation and understanding of mature image processing algorithms. Effective and efficient algorithm evaluation can be accomplished through algorithm and image modeling. Algorithm performance models can be analytical, empirical or hybrid (a combination of the two). These models can determine the best operating points of an algorithm for optimum performance, as well as predict algorithm performance on non-available image data. This provides a very convenient and cost-effective way to evaluate algorithms on a wide range of scenarios, without actually collecting the imagery that represents these scenarios. This paper demonstrates the usefulness of analytical approaches to algorithm modeling.

Paper Details

Date Published: 17 January 1985
PDF: 8 pages
Proc. SPIE 0521, Intelligent Robots and Computer Vision, (17 January 1985); doi: 10.1117/12.946173
Show Author Affiliations
Michael E. Bazakos, Honeywell Systems and Research Center (United States)
Ngoc-Chi Vu, Honeywell Systems and Research Center (United States)


Published in SPIE Proceedings Vol. 0521:
Intelligent Robots and Computer Vision
David P. Casasent; Ernest L. Hall, Editor(s)

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