医学图像边缘检测的Levy-DNA-ACO算法研究  

Research on Levy-DNA-ACO algorithm for medical image edge detection

作　　者：张经宇 滕建辅 白煜 ZHANG Jingyu;TENG Jianfu;BAI Yu(School of Electrical Automation and Information Engineering,Tianjin University,Tianjin 300072,China)

机构地区：[1]天津大学电气自动化与信息工程学院,天津300072

出　　处：《计算机工程与应用》2018年第8期14-20,共7页Computer Engineering and Applications

基　　金：国家软科学研究计划(No.2014GXS4D089);天津市应用基础与前沿技术研究计划项目(No.13JCYBJC15600)

摘　　要：以带Levy飞行特性的新型DNA-蚁群算法为手段,提出了一种新的医学图像边缘检测优化智能算法。带Levy飞行特性的新型DNA-蚁群算法通过利用Levy飞行特性的扰动性避免基本算法陷入局部最优,利用DNA交叉与变异操作来调控算法参数,从而缩短搜索时间,提高搜索精度。利用新的改进蚁群算法解决医学图像边缘检测,实验仿真效果表明改进蚁群算法在解决医学图像边缘检测问题上更加精细,效果更好。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.

关 键 词：医学图像 边缘检测 蚁群算法 Levy飞行 DNA交叉 DNA变异 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]