摘要
基于蚁群算法,提出了一种新的图像边缘提取方法。利用图像的灰度梯度作为启发信息,引入运动方向的改变量,通过蚁群在路径上信息素的分布及更新,从而使其迭代搜索逐渐向边缘曲线收敛,根据信息素的情况提取边缘曲线。实验结果证明,该方法利用蚁群算法的正反馈性的优点,有效地提高了边缘提取准确性,获得了比较理想的边缘提取效果。
This paper presents a novel image edge extraction algorithm based on Ant Colony Algorithm(ACA).Using the gray gradient of image as a enlightening information and adding the change of movement direction,it is able to guide ant colony to search brink iteratively for the possible local marginal curve by updating the pheromones which distribute on the line.Finally,the purpose of extracting the edge of the image according to the quantity of the pheromone are achieved.The experimental results show that the ant colony algorithm has the advantage of positive feedback effectively to improve the accuracy of edge detection and obtain a relatively good edge extraction image.
出处
《微型电脑应用》
2010年第4期12-14,67,共3页
Microcomputer Applications
关键词
蚁群算法
边缘提取
灰度变化
迭代搜索
Ant Colony Algorithm
Edge Extraction
Gray Gradient
Iteration Searching
