计算机工程与应用 ›› 2015, Vol. 51 ›› Issue (2): 194-197.

• 图形图像处理 • 上一篇    下一篇

混沌蚁群算法在图像边缘检测中的应用

耿艳香1,2,孙云山1,2,谢靖鹏1,刘  超1   

  1. 1.天津商业大学 信息工程学院,天津 300134
    2.天津大学 电子信息工程学院,天津 300072
  • 出版日期:2015-01-15 发布日期:2015-01-12

Research on chaotic ant colony algorithm in image edge detection

GENG Yanxiang1,2, SUN Yunshan1,2, XIE Jingpeng1, LIU Chao1   

  1. 1.School of Information Engineering, Tianjin University of Commerce, Tianjin 300134, China
    2.School of Electric Information Engineering, Tianjin University, Tianjin 300072, China
  • Online:2015-01-15 Published:2015-01-12

摘要: 运用混沌蚁群算法进行图像的边缘检测是针对混沌蚁群算法具有随机性、遍历性、正反馈性,通过更新信息素矩阵来计算图像阈值,从而获得图像边缘信息,能够更全面、迅速地找到图像的边缘,避免过早陷入局部最优,提高了图像边缘检测的连续性和准确性。计算机仿真实验表明,通过混沌蚁群算法获得的图像边缘更加完整和清晰,取得了较好的效果。

关键词: 混沌蚁群算法, 图像分割, 边缘检测

Abstract: Chaos ant colony algorithm is applied in image edge detection, because of its randomness, ergodicity and positive feedback. The update of the pheromone matrix by chaos ant colony algorithm is used to calculate the threshold to get the edge of image, and then it can fully and quickly find the edge of image to avoid falling into the optimal value. The algorithm improves the continuity and accuracy of image edge detection. Simulation results of the computer show that chaos ant colony algorithm to obtain more completely and clearly edge, which is obtained better effect.

Key words: chaos ant colony algorithm, image segmentation, edge detection