关键词: 蚁群算法, 边缘检测, 权重, 梯度, 区域灰度均值, 自适应

Abstract: There are some questions that the edge is unsmooth, the noise is affected greatly, and it is easy to converge to local, when the traditional ant colony algorithm is used in edge detection. In order to improve the quality of edge detection, firstly, the algorithm in this paper determines the initial position and the heuristic matrix by combining the method of the gray gradient and the region gray mean; secondly, the weight factor is introduced to define the new probability transfer function, and the pheromone matrix is updated by the chaos algorithm and adaptive parameters. The experimental results show that the improved ant colony algorithm can effectively reduce the influence of noise on edge detection, and detect image edge that is more complete and clear.

Key words: ant colony algorithm, edge detection, weight, gradient, region gray mean, adaptive