基于遗传算法的自动阈值选取方法研究

Study on the Automatic Selection of Image Threshold Based on Genetic Algorithms

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理论有机结合,提出了一种简捷的自动识别最优阈值的方法,该方法将遗传算法引入图像分割,利用遗传算法所具有的快速寻优的特点,大大缩短了计算时间。实验结果表明:新算法不仅提高分割质量,而且缩短寻优时间。

The operation of getting image threshold is large based on traditional Otsu theory.The method based on genetic algorithm and Otsu theory realizes automatic selection of image threshold.GA is introduced into image segmentation to optimize the procedure of seeking threshold using the characteristic of quick seeking capacity.This method can reduce the time of computation.The experimental results show that new algorithm not only obtains a good segmentation quality but also has higher computational speed.