IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v2y2017i5idhcseit172583.html

Simple Article on Segmentation Types and Its Application

Author

Listed:
  • A. Elakkiya
  • R. Neela

Abstract

Image segmentation is one of the most essential image processing step to discriminate various objects in the image, it usually assist as the pre-processing step before image feature extraction, image pattern recognition and image compression. The goal of image segmentation is to rationalize and change the depiction of an image into something which is very important and easy to examine. This paper focuses on study of different image segmentation types, applications and analysis which is used for advanced techniques. Then we talked about different foundation involved in image segmentation and find the gap between them which needs to be linked so as to refine the image segmentation efficiency and performance.

Suggested Citation

  • A. Elakkiya & R. Neela, 2017. "Simple Article on Segmentation Types and Its Application," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(5), pages 386-391, October.
  • Handle: RePEc:jbh:ijsrcs:v2:y2017:i5:id:hcseit172583
    Note: Article URL: https://ijsrcseit.com/CSEIT172583
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT172583
    File Function: Article URL
    Download Restriction: no

    File URL: https://ijsrcseit.com/paper/CSEIT172583.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    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:jbh:ijsrcs:v2:y2017:i5:id:hcseit172583. 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: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    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.