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Decomposition of arbitrarily shaped binary morphological structuring elements using genetic algorithms

机译:利用遗传算法分解任意形状的二进制形态结构元素

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摘要

A number of different algorithms have been described in the literature for the decomposition of both convex binary morphological structuring elements and a specific subset of nonconvex ones. Nevertheless, up to now no deterministic solutions have been found to the problem of decomposing arbitrarily shaped structuring elements. This work presents a new stochastic approach based on genetic algorithms, in which no constraints are imposed on the shape of the initial structuring element nor assumptions are made on the elementary factors, which are selected within a given set.
机译:文献中已经描述了许多不同的算法,用于分解凸二元形态结构元素和非凸结构元素的特定子集。然而,到目前为止,尚未找到确定的解决方案来分解任意形状的结构元素。这项工作提出了一种基于遗传算法的新的随机方法,其中没有对初始结构元素的形状施加任何约束,也没有对在给定集合中选择的基本因子进行假设。

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