基于侦察和感知能力的蚁群图像边缘检测算法

Ant colony image edge detection algorithm based on reconnaissance and perception

针对蚁群算法在进行图像边缘检测时,蚂蚁会做大量的无效搜索,增加算法的运行时间。提出了具有侦察能力和感知功能的蚁群图像边缘检测算法,让侦察蚁进行侦察,排除大量的非边缘区域,然后觅食蚁利用感知能力进行搜索图像边缘。通过实验结果表明,该算法可以得到理想的图像边缘,而且算法的运行效率明显提高。

In view of the ant colony algorithm in the image edge detection,the ant does a lot of invalid search,increases the running time of the algorithm. This paper proposed ant colony algorithm with reconnaissance capability and sensing function for image edge detection and it lets the scouts for reconnaissance,eliminates a large number of non-edge region,then foragers use perception to search the object edge. The experimental results show that the proposed algorithm can get the ideal image edge,and the operation efficiency of the algorithm is obviously improved.