Edge detection using ant algorithms
Edge detection using ant algorithms
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DOI：
10.1007/s00500-005-0511-y
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发表时间：
2006-05
期刊：
影响因子：
4.1
通讯作者：
H. Nezamabadi-pour;S. Saryazdi;E. Rashedi
中科院分区：
文献类型：
--
作者：
H. Nezamabadi-pour;S. Saryazdi;E. Rashedi
提出了一种基于蚁群搜索的边缘检测新算法。这个问题是由一个有向图表示，其中节点是图像的像素。为了适应该问题，对原有的蚁群搜索算法（阿克萨）进行了改进。大量的实验，以确定合适的算法参数。我们驱动的图像的大小进行分析和算法参数之间的实验关系。实验结果表明了该算法的有效性。
In this paper a new algorithm for edge detection using ant colony search is proposed. The problem is represented by a directed graph in which nodes are the pixels of an image. To adapt the problem, some modifications on original ant colony search algorithm (ACSA) are applied. A large number of experiments are employed to determine suitable algorithm parameters. We drive an experimental relationship between the size of the image to be analyzed and algorithm parameters. Several experiments are made and the results suggest the effectiveness of the proposed algorithm.