CGFFCM: Cluster-weight and Group-local Feature-weight learning in Fuzzy C-Means clustering algorithm for color image segmentation [Formula presented]

被引：0
|
作者：
Golzari Oskouei, Amin [1 ,2 ]
Hashemzadeh, Mahdi [1 ,2 ]
Asheghi, Bahareh [1 ,2 ]
Balafar, Mohammad Ali [3 ]
机构：
[1] Faculty of Information Technology and Computer Engineering, Azarbaijan Shahid Madani University, Tabriz, Iran
[2] Artificial Intelligence and Machine Learning Research Laboratory, Azarbaijan Shahid Madani University, Tabriz, Iran
[3] Department of Computer Engineering, Faculty of Electrical and Computer Engineering, University of Tabriz, Iran
来源：
Applied Soft Computing | 2021年 / 113卷
关键词：
Cluster weighting - Clusterings - Colour image segmentation - Feature weighting - Fuzzy-c means - Group-local feature weighting - Image features - Images segmentations - Local feature weighting - Performance;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [31] MR Image Segmentation Algorithm Based On Non-Local Fuzzy C-means Clustering
    Sui Yuan
    Wei Ying
    2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2015, : 1117 - 1122
  • [32] Research on adaptive entropy weight fuzzy c-means clustering algorithm
    Huang H.
    Kong C.
    Yu H.
    Wen F.
    Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2016, 36 (01): : 219 - 223
  • [33] Regionalized fuzzy C-means algorithm for segmentation of color remotesensing image
    Zhao, Quan-Hua
    Li, Hong-Ying
    Li, Yu
    Kongzhi yu Juece/Control and Decision, 2015, 30 (09): : 1706 - 1710
  • [34] Fuzzy C-means algorithm insensitive to cluster differences for image segmentation
    Zhu, Zhanlong
    Liu, Ming
    Li, Yamei
    Zhao, Dongmei
    Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2022, 50 (03): : 43 - 48
  • [35] A fuzzy C-means clustering algorithm for image segmentation using nonlinear weighted local information
    Li, Jin (lijin@hrbeu.edu.cn), 1600, Ubiquitous International (08):
  • [36] A novel weighted fuzzy c-means based on feature weight learning
    Pan, Xingguang
    Wang, Lin
    Huang, Chengquan
    Wang, Shitong
    Chen, Haiqing
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2021, 41 (06) : 6149 - 6167
  • [37] Fuzzy Local Information C-means Algorithm for Histopathological Image Segmentation
    Cetin, Mustafa
    Dokur, Zumray
    Olmez, Tamer
    2019 SCIENTIFIC MEETING ON ELECTRICAL-ELECTRONICS & BIOMEDICAL ENGINEERING AND COMPUTER SCIENCE (EBBT), 2019,
  • [38] Intuitionistic fuzzy local information C-means algorithm for image segmentation
    Cui, Hanshuai
    Xie, Zheng
    Zeng, Wenyi
    Ma, Rong
    Zhang, Yinghui
    Yin, Qian
    Xu, Zeshui
    INFORMATION SCIENCES, 2024, 681
  • [39] Kernel Possibilistic Fuzzy c-Means Clustering with Local Information for Image Segmentation
    Memon, Kashif Hussain
    Memon, Sufyan
    Qureshi, Muhammad Ali
    Alvi, Muhammad Bux
    Kumar, Dileep
    Shah, Rehan Ali
    INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2019, 21 (01) : 321 - 332
  • [40] Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image Segmentation
    Gong, Maoguo
    Liang, Yan
    Shi, Jiao
    Ma, Wenping
    Ma, Jingjing
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2013, 22 (02) : 573 - 584
12345