Image edge detection method based on improved ant colony algorithm for railway

LI Guo-ning1; LI Pei-qi1; WANG Yan-qin2

doi:10.13873/j.1000-97872013.06.027

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Image edge detection method based on improved ant colony algorithm for railway

更新时间：2025-09-11

- Image edge detection method based on improved ant colony algorithm for railway
- Vol. 32, Issue 6, Pages: 130-133(2013)
- 作者机构：
  
  1. 兰州交通大学自动化与电气工程学院
  2. 中国电子科技集团公司第十四研究所南京恩瑞特实业有限公司
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872013.06.027
  CLC： TP391.41
- Published：2013
- 稿件说明：
移动端阅览
[1]李国宁,李沛奇,王燕芩.基于改进蚁群算法的轨道图像边缘检测方法[J].传感器与微系统,2013,32(06):130-133.

LI Guo-ning1, LI Pei-qi1, WANG Yan-qin2. Image edge detection method based on improved ant colony algorithm for railway[J]. 2013, 32(6): 130-133.
[1]李国宁,李沛奇,王燕芩.基于改进蚁群算法的轨道图像边缘检测方法[J].传感器与微系统,2013,32(06):130-133. DOI： 10.13873/j.1000-97872013.06.027.

LI Guo-ning1, LI Pei-qi1, WANG Yan-qin2. Image edge detection method based on improved ant colony algorithm for railway[J]. 2013, 32(6): 130-133. DOI： 10.13873/j.1000-97872013.06.027.

摘要

针对轨道图像边缘检测效果不佳的问题

提出一种基于改进蚁群算法的边缘检测算法。在蚁群的路径选择中加入搜索热度因子

考虑轨道边缘的连续性和完整性后

结合灰度梯度值、像素点的相位角度和蚂蚁移动的方向性

重新设计了启发函数。动态调整了局部信息素更新公式

并基于混沌扰动改进了全局信息素更新公式。通过仿真实验验证了算法的有效性。

Abstract

Aiming at poor results for edge detection of railway

an image edge detection method based on improved ant colony algorithm is proposed.Searching heat factor is added in path selection of ant colony

considering continuity and integrity of the railway edge

heuristic function is redesigned combined with gray gradient values

the phase angle of the pixel and the directional of ants moving.The local pheromone update formula is dynamically adjusted and the global pheromone update formula is improved based on chaotic disturbance.Simulation experiment verifies the effectiveness of the algorithm.

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references

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