基于遗传算法和Otsu理论的图像阈值自动选取

Automatic selection of image threshold based on genetic algorithms and Otsu

利用传统的Otsu理论进行图像阈值选取,计算量较大,现将遗传算法和Otsu理论进行了有机结合,实现了图像阈值自动选取,且大大降低了计算量。实验结果表明该算法不仅提高了分割质量,而且缩短了寻优时间,从而说明了该算法的有效性、正确性。

The operation of getting image threshold is large based on traditional Otsu theory. The method based on genetic algorithms and Otsu theory realizes automatic selection of image threshold, and reduces the operation. The result of experiments shows that the method is not only of higher segmentation quality but also of higher computational speed. So, it proves the algorithm is right and efficient.