计算机应用与软件Issue(9)：266-269,4.DOI:10.3969/j.issn.1000-386x.2013.09.073
改进的蚁群算法在图像边缘检测中的应用研究
ON APPLYING IMPROVED ANT COLONY ALGORITHM TO IMAGE EDGE DETECTION
曹春萍 1梁慧1
作者信息
- 1. 上海理工大学光电信息与计算机工程学院 上海 200093
- 折叠
摘要
Abstract
In this paper , in view of the problem of long time consumption the traditional ant colony edge detection algorithm has , we pro-pose a method which calculates the heuristic information value based on gradient of nodes in neighbourhood .The method can guide the ants move to edge nodes faster and better , and spends less time .At the same time , we also introduce fuzzy C-means algorithm to decide the threshold of pheromone in ant colony algorithm , this makes it more exact and reasonable , and judges the edge nodes with higher precision . Experiments show that the improved algorithm can reduce the time consumption , effectively suppress the noise , and can detect the edge of the image more effectively and accurately .关键词
边缘检测/蚁群算法/模糊C均值Key words
Edge detection/Ant colony optimisation/Fuzzy c-means分类
信息技术与安全科学引用本文复制引用
曹春萍,梁慧..改进的蚁群算法在图像边缘检测中的应用研究[J].计算机应用与软件,2013,(9):266-269,4.
