IDEAS home Printed from https://ideas.repec.org/a/epw/ejeng0/v2y2017i1id60237.html

A Survey on Image Segmentation Methods using Clustering Techniques

Author

Listed:
  • Nameirakpam Dhanachandra

    (EEE Department, National Institute of Technology, Manipur, India)

  • Yambem Jina Chanu

    (CSE Department, National Institute of Technology, Manipur)

Abstract

Image segmentation has been considered as the first step in the image processing. An efficient segmentation result would make it easier for further analysis of image processing. However, there exits many algorithms and approaches for image segmentation. Clustering is one of the commonly used image segmentation techniques. In this paper, we have briefly describe some of the clustering techniques and discuss some of the recent works by researchers on these techniques.

Suggested Citation

  • Nameirakpam Dhanachandra & Yambem Jina Chanu, 2017. "A Survey on Image Segmentation Methods using Clustering Techniques," European Journal of Engineering and Technology Research, European Open Science, vol. 2(1), pages 15-20, January.
  • Handle: RePEc:epw:ejeng0:v:2:y:2017:i:1:id:60237
    DOI: 10.24018/ejeng.2017.2.1.237
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejeng/article/view/60237
    File Function: Abstract page
    Download Restriction: no

    File URL: https://eu-opensci.org/index.php/ejeng/article/download/60237/11745
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24018/ejeng.2017.2.1.237?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:epw:ejeng0:v:2:y:2017:i:1:id:60237. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejeng .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.