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A new method for polygonal approximation using genetic algorithms
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DOI：10.1016/S0167-8655(98)00082-8.png)
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In this paper, a new polygonal approximation method is proposed. It determines the optimal polygons of digital curves based on genetic algorithms (GAs) since they employ parallel search and have good performance in solving optimization problems. The genetic operators used here are specifically designed for this application. The performance of the proposed method is compared to that of several existing methods. (C) 1998 Elsevier Science B.V. All rights reserved.
Keyword:
genetic algorithms
polygonal approximation
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3.3
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