IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v2y2017i3idhcseit1726100.html

A Complementary Review on Various Content Based Image Retrieval System Techniques

Author

Listed:
  • M Ekambaram Naidu
  • Ravi Kumar Chandu

Abstract

In digital image processing finding or searching, an image in huge database of digital images is big task for designing more efficient image and shape matching Algorithm. In data storage and image acquisition technologies, we have to enable the creation of large image datasets. In this type, it is necessary to develop appropriate information systems to efficiently manage these collections. The common approaches use the so-called Content-Based Image Retrieval (CBIR) systems. These systems try to retrieve images similar to a user-defined specification or pattern (e.g., shape sketch, image example). In this paper, we see the different type’s techniques of content based image retrieval for different application purpose.

Suggested Citation

  • M Ekambaram Naidu & Ravi Kumar Chandu, 2017. "A Complementary Review on Various Content Based Image Retrieval System Techniques," 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(3), pages 938-942, June.
  • Handle: RePEc:jbh:ijsrcs:v2:y2017:i3:id:hcseit1726100
    Note: Article URL: https://ijsrcseit.com/CSEIT1726100
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT1726100
    File Function: Article URL
    Download Restriction: no

    File URL: https://ijsrcseit.com/paper/CSEIT1726100.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:i3:id:hcseit1726100. 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.