IDEAS home Printed from https://ideas.repec.org/a/ids/ijdsci/v6y2021i1p45-56.html
   My bibliography  Save this article

Hybrid approach for content-based image retrieval

Author

Listed:
  • S. Theetchenya
  • Somula Ramasubbareddy
  • S. Sankar
  • Syed Muzamil Basha

Abstract

Content-based image retrieval (CBIR) is one of the vital research areas in image processing. The CBIR, also known as query by image content, i.e., the problem searching for similar digital images in a large database. The existing CBIR system used to retrieve the relevant images lack inaccuracy. To improve the accuracy level of CBIR, the proposed system introduces an unsupervised Hybrid Approach. The proposed system gets the input images as colour image. The pre-processing is performed using the median filter. This system is extracted the feature such as colour, texture, brightness distribution, Euclidean distance from hybrid approach. While the user gives the query on this system, the real time comparison is made with feature stored database. Finally the proposed system retrieves the related image from database. The proposed system compared with various dataset Corel 10000, IMAGENET1M and also increased the accuracy level by 5%.

Suggested Citation

  • S. Theetchenya & Somula Ramasubbareddy & S. Sankar & Syed Muzamil Basha, 2021. "Hybrid approach for content-based image retrieval," International Journal of Data Science, Inderscience Enterprises Ltd, vol. 6(1), pages 45-56.
    • Handle: RePEc:ids:ijdsci:v:6:y:2021:i:1:p:45-56
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=117467
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:ids:ijdsci:v:6:y:2021:i:1:p:45-56. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=429 .

    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.