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Proceedings Paper

The Perturbing And Iterating Classifier Algorithm
Author(s): Greg A. Roberts
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Paper Abstract

A classification algorithm called the Perturbing and Iterating Classifier (PIC) is presented. This algorithm is a heuristic classifier that determines the classification of a segment by examining the number of self-consistent perturbations that are necessary for a segment's descriptor vector to become very close to a model descriptor vector. Unlike many other classifiers, this algorithm does not rely on the initial closeness or similarity of descriptor vectors. The theory of PIC is initially explained, an application of PIC in two dimensional shape matching is given, and then the physical interpretation of the algorithm is presented. An example of how PIC can discriminate shape over a wide range is also presented.

Paper Details

Date Published: 26 October 1983
PDF: 7 pages
Proc. SPIE 0397, Applications of Digital Image Processing V, (26 October 1983); doi: 10.1117/12.935342
Show Author Affiliations
Greg A. Roberts, Ford Aerospace (United States)


Published in SPIE Proceedings Vol. 0397:
Applications of Digital Image Processing V
Andre J. Oosterlinck; Andrew G. Tescher, Editor(s)

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