Genetic algorithms approach for the extraction of the polygonal approximation of planar objects

Hector Erives; Ramon Parra-Loera

doi:10.1117/12.243202

14 June 1996 Genetic algorithms approach for the extraction of the polygonal approximation of planar objects

Hector Erives, Ramon Parra-Loera

Proceedings Volume 2755, Signal Processing, Sensor Fusion, and Target Recognition V; (1996) https://doi.org/10.1117/12.243202
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

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.

Citation Download Citation

Hector Erives and Ramon Parra-Loera "Genetic algorithms approach for the extraction of the polygonal approximation of planar objects", Proc. SPIE 2755, Signal Processing, Sensor Fusion, and Target Recognition V, (14 June 1996); https://doi.org/10.1117/12.243202

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