Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (3): 20-22.DOI: 10.3778/j.issn.1002-8331.2011.03.006

• 博士论坛 • Previous Articles     Next Articles

Polymorphic ant colony optimization algorithm in image edge detection

ZHANG Jian1,2,ZHOU Jiliu3,HE Kun3,ZHENG Xiuqing3   

  1. 1.School of Electronics and Information Engineering,Sichuan University,Chengdu 610065,China
    2.School of Physics and Electronics Engineering,Sichuan Normal University,Chengdu 610066,China
    3.School of Computer Science,Sichuan University,Chengdu 610065,China
  • Received:2010-09-26 Revised:2010-12-03 Online:2011-01-21 Published:2011-01-21
  • Contact: ZHANG Jian

基于多态蚁群优化的图像边缘检测

张 健1,2,周激流3,何 坤3,郑秀清3   

  1. 1.四川大学 电子信息学院,成都 610065
    2.四川师范大学 物理与电子工程学院,成都 610066
    3.四川大学 计算机学院,成都 610065
  • 通讯作者: 张 健

Abstract: An image edge detection algorithm based on polymorphic ant colony algorithm is proposed in order to improve the performance of the image edge detection.Through local search,scouting ant marks scouting pheromone,and with the help of the scouting pheromone,the ability of the global search of the searching ant is improved.Experiments show that the proposed algorithm can extract the weak edges,and robust to noise and texture.

Key words: edge detection, ant colony optimization, polymorphic ant colony optimization

摘要: 为了获得更好的边缘检测效果,提出了多态蚁群优化的边缘检测算法。通过侦察蚁的局部搜索标记侦察素,在搜索蚁进行全局搜索的过程中辅以侦察素的作用,提高算法的寻优能力。实验表明,算法在能够提取出弱边缘的情况下,有效地抑制了噪声和纹理信息。

关键词: 边缘检测, 蚁群优化, 多态蚁群优化

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