杨高伟

• 1:信阳学院数学与信息学院

摘要(Abstract)：

为了解决图像边缘检测中的噪声问题,并提升检测效率与检测效果,提出改进蚁群优化算法的图像边缘检测方法。所提方法改进了传统蚁群优化算法直接在像素域进行迭代的边缘检测过程,其将蚂蚁分为探测蚁和寻路蚁,寻路蚁采用数据结构控制思想在原图像上随机选择迭代路线,根据蚂蚁移动角度设置像素点结构搜索路线,在所经过的每个像素点上进行附近像素点结构搜索,快速获取整体图像边缘检测信息,再利用探测蚁将寻路蚁给出的结果进行蚂蚁外激素检测,完成对检测效率与检测效果的改进。实验结果证明,相比传统蚁群优化算法,改进蚁群优化算法在图像边缘检测的效率与效果上均有很大提高。

关键词(KeyWords)： 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

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 杨高伟

DOI: 10.16652/j.issn.1004-373x.2018.03.012

参考文献(References)：

• [1]胡智鹏,刘颖.关于人脸图像抗噪性能检测算法研究[J].计算机仿真,2016,33(11):349-352.HU Zhipeng,LIU Ying.Antinoise performance of face image detection algorithm research[J].Computer simulation,2016,33(11):349-352.
• [2]邓动伟,彭良玉.基于改进Canny算法的图像边缘检测[J].电脑与信息技术,2015,23(2):4-7.DENG Dongwei,PENG Liangyu.Image edge detection based on improved canny algorithm[J].Computer and information technology,2015,23(2):4-7.
• [3]张纯,王立斌.遗传-蚁群算法的配电网状态估计[J].现代电子技术,2016,39(19):165-168.ZHANG Chun,WANG Libin.Estimation of power distribution network state based on genetic algorithm and ant colony algorithm[J].Modern electronics technique,2016,39(19):165-168.
• [4]易三莉,郭贝贝,马磊,等.改进的模糊推理规则图像边缘检测算法[J].计算机工程与应用,2016,52(12):180-183.YI Sanli,GUO Beibei,MA Lei,et al.Improved image edge detection algorithm based on fuzzy inference rules[J].Computer engineering and applications,2016,52(12):180-183.
• [5]郭胜国,邢丹丹.一种改进蚁群算法在机器人路径规划中的应用[J].科技通报,2015,31(12):91-93.GUO Shengguo,XING Dandan.Path planning for robot based on improved ant colony algorithm[J].Bulletin of science and technology,2015,32(12):91-93.
• [6]张琳梅,赵喜玲.基于组合优化理论的红外图像边缘检测[J].激光杂志,2016,37(4):80-83.ZHANG Linmei,ZHAO Xiling.Infrared image edge detection based on combinatorial optimization theory[J].Laser journal,2016,37(4):80-83.
• [7]樊英平,张元洲,鱼群,等.基于改进对数图像模型的机场跑道边缘检测研究[J].电子设计工程,2016,24(14):176-177.FAN Yingping,ZHANG Yuanzhou,YU Qun,et al.Research for infrared runway edge detection based on improved logarithmic image processing model[J].Electronic design engineering,2016,24(14):176-177.
• [8]陈茹,张珍明,邢益雪,等.一种改进的含噪图像边缘检测算法[J].无线电工程,2016,46(6):38-40.CHEN Ru,ZHANG Zhenming,XING Yixue,et al.An improved algorithm for noisy image edge detection[J].Radio engineering,2016,46(6):38-40.
• [9]李娅,秦忆.一种基于分解的、改进的多目标蚁群算法及其应用[J].科学技术与工程,2016,16(12):89-96.LI Ya,QIN Yi.A novel multi-objective ant colony optimization algorithm based on decomposition and its application[J].Science technology and engineering,2016,16(12):89-96.
• [10]徐济惠,祝晓东,刘翠娟,等.数字视频分析中快速边缘检测和运动估计研究[J].计算机测量与控制,2016,24(5):242-245.XU Jihui,ZHU Xiaodong,LIU Cuijuan,et al.Research fast edge detection and motion estimation in digital video analysis[J].Computer measurement and control,2016,24(5):242-245.