基于Logistic映射的果蝇算法优化Otsu图像分割方法  

Otsu image segmentation method optimized by fruit fly optimization algorithm based on Logistic mapping

作　　者：李鹏[1,2,3] 陈守静 杨山山 刘轩宇 张立豪 LI Peng;Chen Shoujing;Yang Shanshan;Liu Xuanyu;Zhang Lihao(l.Jiangsu Key Laboratory of Meteorological Observation and Information Processing,Nanjing University of Information Science&Technology,Nanjing 210044,China;School of Automation,Wuxi University,Wuxi 214105,China;School of Electronicsand Information Engineering,Nanjing University of Information Science&Technology,Nanjing 210044,China)

机构地区：[1]南京信息工程大学江苏省气象探测与信息处理重点实验室,南京210044 [2]无锡学院自动化学院,无锡214105 [3]南京信息工程大学电子与信息工程学院,南京210044

出　　处：《国外电子测量技术》2022年第7期9-17,共9页Foreign Electronic Measurement Technology

基　　金：江苏省重点研发计划社会发展项目(BE2015692);无锡市社会发展科技示范工程项目(N20191008);南京信息工程大学无锡校区研究生创新实践项目(WXCX202105)资助。

摘　　要：针对传统最大类间方差法(Otsu)在处理图像时分割精度低、实时性差的缺陷,提出一种基于Logistic混沌映射和高斯游走策略果蝇优化算法的Otsu阈值分割方法(LGFOA-Otsu)用于图像分割。首先,在标准果蝇优化算法(FOA)中利用Logistic映射产生的混沌现象来增强果蝇种群初始位置的随机性,提高FOA算法的搜索速度;其次,引入高斯游走策略更新果蝇位置信息以提高种群多样性;最后,对8个经典测试函数进行测试,并与多个算法进行对比分析。仿真实验结果表明,提出的改进算法相较于标准果蝇算法和部分改进算法,在寻优精度和收敛速度方面都有较大的提高,验证了该算法的可行性和有效性。Aiming at the defects of low segmentation accuracy and poor real-time performance of the traditional maximum between-class variance method(Otsu)when processing images,an Otsu threshold segmentation method based on Logistic chaotic mapping and Gaussian walk strategy fruit fly optimization algorithm(LGFOA-Otsu)was proposed for image segmentation.Firstly,the chaotic phenomenon generated by Logistic mapping is used in the basic FOA to enhance the randomness of the initial position of the fruit fly population and improve the search speed of the FOA algorithm.Secondly,the Gaussian walk strategy is introduced to update the position information of the fruit fly and improve the population diversity.Finally,eight classical test functions are tested and compared with multiple algorithms.Simulation results show that compared with the standard drosophila algorithm and some improved algorithms,the proposed improved algorithm has a great improvement in optimization accuracy and convergence speed,which verifies the feasibility and effectiveness of the algorithm.

关 键 词：果蝇优化算法(FOA) LOGISTIC映射 OTSU分割 高斯游走策略 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]