摘要
蚁群算法是近些年发展起来的一种群体智能优化算法,它利用生物信息激素作为蚂蚁选择后续行为的依据,并通过蚂蚁间的协同与交互来完成全局寻优搜索过程。本文将该算法用于边缘检测,建立图像边缘与信息场之间的联系。提出了基于像素邻域的8个启发信息检测算子,指导蚂蚁选择最优边缘路径,并能自动确定分割阈值。对灰度图像进行模拟实验与经典分割算子进行对比,结果表明,该算法可以精确提取边缘特征,细节特征更为清晰。
Ant colony algorithm is a popular swarm intelligence optimization algorithm in recent years , which discharge biological pheromone as a basis for guiding the ant subsequent behaviors and searching the optimal solution in the searching regions through the cooperation and interaction with other ants .In this paper , the present algorithm would contact the edge with the pheromone field for edge detection .We proposed a method of eight heuristic information detector based on pixel neighborhood to guide ants select the opti -mal edge of on the path , so that the segmentation threshold can be automatically determine .Compared with classical edge -measuring operator , the image simulation experiments show that the proposed can accurately extract edge profile and the clearly detail characteris -tics.
出处
《测绘与空间地理信息》
2017年第11期171-173,共3页
Geomatics & Spatial Information Technology
