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Proceedings Paper

Genetic algorithms approach for the extraction of the polygonal approximation of planar objects
Author(s): Hector Erives; Ramon Parra-Loera
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Paper Abstract

A new approach to the extraction of the polygonal approximation is presented. The method obtains a smaller set of the important features by means of an evolutionary algorithm. A genetic approach with some heuristics, improves contour approximation search by starting with a parallel search at various points in the contour. The algorithm uses genetic algorithms to encode a polygonal approximation as a chromosome and evolve it to provide a polygonal approximation. Experimental results are provided.

Paper Details

Date Published: 14 June 1996
PDF: 8 pages
Proc. SPIE 2755, Signal Processing, Sensor Fusion, and Target Recognition V, (14 June 1996); doi: 10.1117/12.243202
Show Author Affiliations
Hector Erives, New Mexico State Univ. (United States)
Ramon Parra-Loera, New Mexico State Univ. (United States)
Univ. Autonoma de Ciudad Juarez (Mexico)


Published in SPIE Proceedings Vol. 2755:
Signal Processing, Sensor Fusion, and Target Recognition V
Ivan Kadar; Vibeke Libby, Editor(s)

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