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Proceedings Paper

Role of performance evaluation in automated image algorithm generation
Author(s): Robert C. Vogt
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Paper Abstract

When considering ways to automate the generation of image processing algoritms for object recognition tasks, one critical element is the availability of measures to assess the potential and actual ability of individual operations for making necessary discriminations. This paper discusses performance evaluation of image processing operators or algorithms from the perspective of trying to search automatically through a large space of them for one which satisfactorily performs a given recognition task. Performance is expressed in terms of accuracy, consistency, and cost, over a set of training images. The major issues of evaluating and choosing between operators in this context are discussed and examples are given of measures which can be used to evaluate classes of operators for applicability, as well as individual operators or parameter settings for actual performance. Examples are drawn primarily from binary morphology, with detailed extensions described for grey level morphological and linear operations.

Paper Details

Date Published: 1 September 1990
PDF: 12 pages
Proc. SPIE 1310, Signal and Image Processing Systems Performance Evaluation, (1 September 1990); doi: 10.1117/12.21814
Show Author Affiliations
Robert C. Vogt, Environmental Research Institute of Michigan (United States)


Published in SPIE Proceedings Vol. 1310:
Signal and Image Processing Systems Performance Evaluation
Hatem N. Nasr; Firooz A. Sadjadi, Editor(s)

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