Survey on Clustering-Based Image Segmentation Techniques

被引：0
|
作者：
Zou, Yanni [1 ]
Liu, Bo [1 ]
机构：
[1] Nanchang Univ, Sch Informat Engn, Nanchang, Peoples R China
来源：
2016 IEEE 20th International Conference on Computer Supported Cooperative Work in Design (CSCWD) | 2016年
关键词：
image segmentation; clustering; feature; FUZZY C-MEANS;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Image segmentation, an essential process of pixel clustering partitions raw image into non-overlapping regions. This paper surveys the image segmentation techniques based on the clustering. From the survey it is clear that clustering plays an important role in image segmentation.
引用
收藏
页码：106 / 110
页数：5
相关论文
共 50 条
  • [21] Comparative Study of Clustering Based Colour Image Segmentation Techniques
    Chebbout, Samira
    Merouani, Hayet Farida
    [J]. 8TH INTERNATIONAL CONFERENCE ON SIGNAL IMAGE TECHNOLOGY & INTERNET BASED SYSTEMS (SITIS 2012), 2012, : 839 - 844
  • [22] An Improved Medical Image Segmentation Algorithm Based On Clustering Techniques
    Li, Xiang-Wei
    Kang, Yu-Xiu
    Zhu, Ya-Ling
    Zheng, Gang
    Wang, Jun-Di
    [J]. 2017 10TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI), 2017,
  • [23] Survey on Image Segmentation via Clustering
    Saraswathi, S.
    Allirani, A.
    [J]. 2013 INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND EMBEDDED SYSTEMS (ICICES), 2013, : 331 - 335
  • [24] Nonparametric K-means clustering-based adaptive unsupervised colour image segmentation
    Khan, Zubair
    Yang, Jie
    [J]. PATTERN ANALYSIS AND APPLICATIONS, 2024, 27 (01)
  • [25] K-Hyperline Clustering-Based Color Image Segmentation Robust to Illumination Changes
    Yang, Senquan
    Li, Pu
    Wen, HaoXiang
    Xie, Yuan
    He, Zhaoshui
    [J]. SYMMETRY-BASEL, 2018, 10 (11):
  • [26] Robust Clustering-based Segmentation Methods for Fingerprint Recognition
    Ferreira, Pedro M.
    Sequeira, Ana F.
    Cardoso, Jaime S.
    Rebelo, Ana
    [J]. 2018 INTERNATIONAL CONFERENCE OF THE BIOMETRICS SPECIAL INTEREST GROUP (BIOSIG), 2018,
  • [27] ACLNet: an attention and clustering-based cloud segmentation network
    Makwana, Dhruv
    Nag, Subhrajit
    Susladkar, Onkar
    Deshmukh, Gayatri
    Teja, Sai Chandra R.
    Mittal, Sparsh
    Mohan, C. Krishna
    [J]. REMOTE SENSING LETTERS, 2022, 13 (09) : 865 - 875
  • [28] A clustering-based obstacle segmentation approach for urban environments
    Ridel, Daniela A.
    Shinzato, Patrick Y.
    Wolf, Denis F.
    [J]. 2015 12TH LATIN AMERICAN ROBOTICS SYMPOSIUM AND 2015 3RD BRAZILIAN SYMPOSIUM ON ROBOTICS (LARS-SBR), 2015, : 265 - 270
  • [29] Clustering-based Spot Segmentation of cDNA Microarray Images
    Uslan, Volkan
    Bucak, Ihsan Omur
    [J]. 2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2010, : 1828 - 1831
  • [30] Clustering-based mask recovery for image captioning
    Liang, Xu
    Li, Chen
    Tian, Lihua
    [J]. NEUROCOMPUTING, 2024, 599
12345