关键词: 医学图像, 边缘检测, 蚁群算法, Levy飞行, DNA交叉, DNA变异

Abstract: Based on the new DNA-ant colony algorithm with Levy flight characteristics, this paper proposes a new intelligent optimization algorithm for medical image edge detection. The new DNA-ant colony algorithm with Levy flight characteristics can avoid the local optimum by utilizing the perturbation of Levy flight characteristics, and use the DNA crossover and mutation operation to regulate the parameters, so as to shorten the search time and improve the search accuracy. It uses the new improved ant colony algorithm to solve the medical image edge detection. And the results show that the improved ant colony algorithm is more precise and effective in solving this problem.

Key words: medical image, edge detection, ant colony optimization, Levy flight, DNA cross, DNA variation