基于蚁群算法的改进Otsu理论的图像多阈值分割

图像分割是由图像处理到图像分析的关键步骤,Otsu法是一种效果较好、实现简单的阈值分割方法。针对传统的Otsu阈值计算方法耗时较多、准则函数不一定单峰这一问题,提出了采用蚁群优化算法来求解阈值,并改进了传统的Otsu理论。分割效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。

Multilevel Thresholding Methods for Image Segmentation with Improved-Otsu Based on Ant Colony Algorithm

Image segmentation is the key step from image processing to image analysis. Ostu thresholding, which features a good performance, is one of the main image threshold segmentation methods. Like other threshold methods, the application of the Otsu has been restricted for the long-paying computation and the peak value of the rule function may not be exclusive. In order to overcome the disadvantages and get better results, a new method with improved-Otsu based on Ant Colony algorithm is proposed in this paper. The image by use of the thresholds can be segmented. Simulation results show that the method is not only of higher segmentation quality but also of higher computational speed. So it proved that the algorithm is right and efficient.