摘要
Abstract
In order to eliminate the noise existing in image edge detection,and improve the detection efficiency and detec-tion effect,an image edge detection method based on improved ant colony optimization algorithm is proposed. The method im-proves the traditional ant colony optimization algorithm to iterate the process of edge detection directly in pixel domain,and di-vides the ants into the detection ants and route-finding ants. The route-finding ants based on the data structure control thought are used to select the iterative path randomly on the original image,set the structural search path of the pixel point according to ants moving angle,search the structure of the neighborhood pixel points from each pixel passing by,and obtain the edge detection in-formation of the whole image. The detection ants are used to detect the ant ectohormone according to the results given by route-finding ants to improve the detection efficiency and detection effect. The experimental results show that,in comparison with the traditional ant colony optimization algorithm,the improved ant colony optimization algorithm has a great improvement in the image edge detection efficiency and effect.关键词
蚁群优化算法/外激素/像素域/图像边缘检测/数据结构控制/检测效率Key words
ant colony optimization algorithm/ectohormone/pixel domain/image edge detection/data structure control/detection efficiency分类
信息技术与安全科学
