2D Otsu algorithm improvement based on genetic algorithm
基于遗传算法的二维Otsu算法改进

The traditional two-dimensional Otsu threshold segmentation algorithm had the high computation complexity and poor real-time in processing image.To solve these problems,this paper adopted an improved adaptive genetic algorithm(IAGA)and used in the 2D Otsu gray image segmentation method.It was proved that the new method not only acquired a good effect,but also compared with the traditional 2D Otsu method,the segmented images were more clear and the real-time was advanced obviously.