Robust Curvature Extrema Detection Based on New Numerical Derivation
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
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The construction of polygonal approximations for digital curves is a well-known technique to obtain a compact representation of them. Over the last years, a number of methods have been proposed to optimize this process, based on different criteria. In this paper, polygonal approximation making is viewed as an optimization problem, and the use of a genetic algorithm is proposed as a method to find a solution that best meets a given set of requirements. This paper analyses the capability and the performance of the genetic algorithm to select the vertices of the polygons, and some advantages and drawbacks are discussed.