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蛙跳结合模糊C-均值的图像分割算法
引用本文:顾英杰,贾振红,覃锡忠,杨杰,庞韶宁.蛙跳结合模糊C-均值的图像分割算法[J].通信技术,2011,44(2):118-119,122.
作者姓名:顾英杰  贾振红  覃锡忠  杨杰  庞韶宁
作者单位:1. 新疆大学,信息科学与工程学院,新疆,乌鲁木齐,830046
2. 上海交通大学,图像处理与模式识别研究所,上海,200240
3. 新西兰奥克兰理工大学,知识工程与开发研究所,新西兰,奥克兰,1020
摘    要:实现了基于混合蛙跳与模糊C-均值结合的图像分割算法。克服了由于FCM算法易受初始聚类中心和隶属度矩阵的影响而使图像分割效果不理想的缺陷。蛙跳算法(SFLA)是一种全新的后启发式群体优化算法,具有高效的计算性能和优良的全局搜索能力。实验表明:该方法与FPSO结合既提高了图像分割的效率又能得到更好的图像分割效果。

关 键 词:图像分割  混合蛙跳算法  模糊C-均值算法  模糊粒子群算法  全局优化

Image Segmentation Algorithm based on Shuffled Frog-leaping with FCM
GU Ying-jie,JIA Zhen-hong,QIN Xi-zhong,YANG Jie,PANG Shao-ning.Image Segmentation Algorithm based on Shuffled Frog-leaping with FCM[J].Communications Technology,2011,44(2):118-119,122.
Authors:GU Ying-jie  JIA Zhen-hong  QIN Xi-zhong  YANG Jie  PANG Shao-ning
Affiliation:③(①College of Information Science and Engineering,Xinjiang University,Urumqi Xinjiang 830046,China; ②Institute of Image Processing and Pattern Recognition,Shanghai Jiaotong University,Shanghai 200240,China; ③Knowledge Engineering and Discovery Research Institute,Auckland University of Technology,Auckland 1020,New Zealand)
Abstract:A new image segmentation algorithm in combination with Shuffled frog-leaping algorithm and FCM clustering is proposed,this algorithm could overcome the disfigurement caused by FCM algorithm,which is sensitive to initial clustering center and membership matrix.Shuffled frog-leaping algorithm(SFLA) is a bran-new heuristic colony optimization method,which has effective computing capability and excellent global searching capability.The experimental results indicate that the proposed algorithm could enhance the ...
Keywords:image segmentation  shuffled frog-leaping algorithm  fuzzy C-mean clustering algorithm  fuzzy particle swarm optimization algorithm  global optimization  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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