计算机工程与应用2018，Vol.54Issue(8)：14-20,7.DOI:10.3778/j.issn.1002-8331.1712-0376
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
摘要
Abstract
Based on the new DNA-ant colony algorithm with Levy flight characteristics,this paper proposes a new intelli-gent optimization algorithm for medical image edge detection.The new DNA-ant colony algorithm with Levy flight char-acteristics can avoid the local optimum by utilizing the perturbation of Levy flight characteristics,and use the DNA cross-over 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Key words
medical image/edge detection/ant colony optimization/Levy flight/DNA cross/DNA variation分类
信息技术与安全科学引用本文复制引用
张经宇,滕建辅,白煜..医学图像边缘检测的Levy-DNA-ACO算法研究[J].计算机工程与应用,2018,54(8):14-20,7.基金项目
国家软科学研究计划(No.2014GXS4D089) （No.2014GXS4D089）
天津市应用基础与前沿技术研究计划项目(No.13JCYBJC15600). （No.13JCYBJC15600）
