• Register
  • Login

European Journal of Molecular & Clinical Medicine

  • Home
  • Browse
    • Current Issue
    • By Issue
    • By Subject
    • Keyword Index
    • Author Index
    • Indexing Databases XML
  • Journal Info
    • About Journal
    • Aims and Scope
    • Editorial Board
    • Publication Ethics
    • Indexing and Abstracting
    • Peer Review Process
    • News
  • Guide for Authors
  • Submit Manuscript
  • Contact Us
Advanced Search

Notice

As part of Open Journals’ initiatives, we create website for scholarly open access journals. If you are responsible for this journal and would like to know more about how to use the editorial system, please visit our website at https://ejournalplus.com or
send us an email to info@ejournalplus.com

We will contact you soon

  1. Home
  2. Volume 7, Issue 3
  3. Author

Online ISSN: 2515-8260

Volume7, Issue3

Survey on Intelligent Approach of Content Based Image Retrieval and Classifications

    SHUNMUGA KUMARI. D and A.S.ARUNACHALAM

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 3, Pages 5006-5013

  • Show Article
  • Download
  • Cite
  • Statistics
  • Share

Abstract

Image retrieval makes an emphasis role in this digital world. This work is a review of several references from various image retrieval methods. However, searching the digital image with its visual content is mandatory for searching and fetching images from the dataset. The Process of image retrieval becomes tough when it has to search huge number of images per seconds is very complicated than the searching fewer images. There are different efficient image retrieval techniques are available, here content- based image retrieval is the vital role with its visual contents in lesser time with more accuracy. It has proposed effective and resourceful intelligent techniques. The research work gives new dynamics of decent attention and performance of image retrieval with machine learning algorithm with balance training set and best classification of it. The large collection of images and retrieval with its semantic features of texture, shape, color, is measured. The essential reduction of semantic gap is main goal between user and CBIR system. Our research proposes the novel outlooks for various image retrieval techniques in intelligent way and its potential applications and future directions.
Keywords:
  • PDF (201 K)
  • XML
(2020). Survey on Intelligent Approach of Content Based Image Retrieval and Classifications. European Journal of Molecular & Clinical Medicine, 7(3), 5006-5013.
SHUNMUGA KUMARI. D and A.S.ARUNACHALAM. "Survey on Intelligent Approach of Content Based Image Retrieval and Classifications". European Journal of Molecular & Clinical Medicine, 7, 3, 2020, 5006-5013.
(2020). 'Survey on Intelligent Approach of Content Based Image Retrieval and Classifications', European Journal of Molecular & Clinical Medicine, 7(3), pp. 5006-5013.
Survey on Intelligent Approach of Content Based Image Retrieval and Classifications. European Journal of Molecular & Clinical Medicine, 2020; 7(3): 5006-5013.
  • RIS
  • EndNote
  • BibTeX
  • APA
  • MLA
  • Harvard
  • Vancouver
  • Article View: 77
  • PDF Download: 89
  • LinkedIn
  • Twitter
  • Facebook
  • Google
  • Telegram
Journal Information

Publisher:

Email:  info@ejmcm.com

  • Home
  • Glossary
  • News
  • Aims and Scope
  • Privacy Policy
  • Sitemap

Editorial Team:  editor@ejmcm.com

For Special Issue Proposal : chiefeditor.ejmcm@gmail.com / info@ejmcm.com

This journal is licensed under a Creative Commons Attribution 4.0 International (CC-BY 4.0)

Powered by eJournalPlus