Fuzzy c-means image segmentation algorithm based on chaotic simulated annealing

被引：0
|
作者：
Yang, Qing [1 ]
Wang, Zhiqiang [1 ]
Xu, Yan [1 ]
机构：
[1] Ordnance Engn Coll, Shijiazhuang, Peoples R China
来源：
ADVANCED DEVELOPMENT IN AUTOMATION, MATERIALS AND MANUFACTURING | 2014年 / 624卷
关键词：
Fuzzy c-means; Chaotic simulated annealing; Global optimization searching; Image segmentation;
D O I：
10.4028/www.scientific.net/AMM.624.536
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Considering the problem that the traditional fuzzy c-means(FCM) image segmentation algorithm is often caught in a specific range in local search and fails to get the globally optimal solution, this paper proposed a modified FCM algorithm based on chaotic simulated annealing(CSA). It traverse all the states without repetition within a certain range to calculate the optimal solution. Experimental results show that our method converges more quickly and accurately to the global optimal and proves a promise global optimization method of high adaptability and feasibility.
引用
收藏
页码：536 / 539
页数：4
相关论文
共 50 条
  • [41] A Spatial Fuzzy C-means Algorithm with Application to MRI Image Segmentation
    Adhikari, Sudip Kumar
    Sing, Jamuna Kanta
    Basu, Dipak Kumar
    Nasipuri, Mita
    [J]. 2015 EIGHTH INTERNATIONAL CONFERENCE ON ADVANCES IN PATTERN RECOGNITION (ICAPR), 2015, : 175 - 180
  • [42] Intrusion Detection Based on Simulated Annealing and Fuzzy c-means Clustering
    Wu Jian
    Feng GuoRui
    [J]. MINES 2009: FIRST INTERNATIONAL CONFERENCE ON MULTIMEDIA INFORMATION NETWORKING AND SECURITY, VOL 2, PROCEEDINGS, 2009, : 382 - 385
  • [43] Hesitant fuzzy C-means algorithm and its application in image segmentation
    Zeng, Wenyi
    Ma, Rong
    Yin, Qian
    Zheng, Xin
    Xu, Zeshui
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2020, 39 (03) : 3681 - 3695
  • [44] A Generalized Spatial Fuzzy C-Means Algorithm for Medical Image Segmentation
    Van Lung, Huynh
    Kim, Jong-Myon
    [J]. 2009 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, 2009, : 409 - +
  • [45] Application of improved fuzzy c-means algorithm to texture image segmentation
    Hou, Yanli
    [J]. Information Technology Journal, 2013, 12 (21) : 6379 - 6384
  • [46] A Fuzzy C-Means Clustering Algorithm Based on Spatial Context Model for Image Segmentation
    Jindong Xu
    Tianyu Zhao
    Guozheng Feng
    Mengying Ni
    Shifeng Ou
    [J]. International Journal of Fuzzy Systems, 2021, 23 : 816 - 832
  • [47] Developing Modified Fuzzy C-Means Clustering Algorithm for Image Segmentation
    Aljebory, Karim M.
    Mohammed, Thabit Sultan
    [J]. 2018 15TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS AND DEVICES (SSD), 2018, : 1221 - 1227
  • [48] MRI Image Segmentation Using Intuitive Fuzzy C-Means Algorithm
    Kim, Tae-Hyun
    Park, Dong-Chul
    Woo, Dong-Min
    Han, Seung-Soo
    Lee, Yunsik
    [J]. 2011 INTERNATIONAL CONFERENCE ON COMPUTER, ELECTRICAL, AND SYSTEMS SCIENCES, AND ENGINEERING (CESSE 2011), 2011, : 306 - +
  • [49] Outlier rejection fuzzy c-means (ORFCM) algorithm for image segmentation
    Siddiqui, Fasahat Ullah
    Isa, Nor Ashidi Mat
    Yahya, Abid
    [J]. TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 2013, 21 (06) : 1801 - 1819
  • [50] Fingerprint Image Segmentation using Modified Fuzzy C-Means Algorithm
    Kang, Jiayin
    Zhang, Wenjuan
    [J]. 2009 3RD INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING, VOLS 1-11, 2009, : 1910 - +
12345