中文说明：蚁群优化 (算法 ACO) 是一种灵感在地上觅食的蚂蚁交存信息素的蚁群物种的自然行为的优化算法。在此文件中，介绍了蚁群算法是处理图像边缘检测问题。建议基于蚁群算法的边缘检测方法是能够建立一个表示在图像中，每个像素位置的边缘信息提交的信息素矩阵调度在图像上移动的蚂蚁数目的运动。此外，这些蚂蚁的运动是由当地的 imagepsilas 强度值变化驱动。实验结果均表明拟议的办法的卓越性能。
English Description：
Ant colony optimization (ACO) is an optimization algorithm inspired by the natural behavior of ant species that ants deposit pheromone on the ground for foraging. In this paper, ACO is introduced to tackle the image edge detection problem. The proposed ACO-based edge detection approach is able to establish a pheromone matrix that represents the edge information presented at each pixel position of the image, according to the movements of a number of ants which are dispatched to move on the image. Furthermore, the movements of these ants are driven by the local variation of the imagepsilas intensity values. Experimental results are provided to demonstrate the superior performance of the proposed approach.