基于遗传算法的图像阈值的自动选取

The Automatic Selection of Image Threshold on the Basis of Genetic Algorithms

在论述了遗传算法基本原理的基础上，以最大类间方差法为例，讨论了如何将遗传算法应用到图像阈值的自动选取之中，并给出了具体的操作步骤。实验结果表明，利用遗传算法可以大大提高原有图像阈值选取方法的性能。

On the basis of discussing the basic principles of Genetic Algorithms, this paper takes the method of maximum classes square error as an example to discuss how to apply Genetic Algorithms in the automatic selection of image thresholds, and describes the detail procedure. The results of experiments show that Genetic Algorithms can improve greatly the performance of old methods selecting image thresholds.