News Updates Friday 26th Apr 2024 :
  • Welcome to INPRESSCO, world's leading publishers, We have served more than 10000+ authors
  • Articles are invited in engineering, science, technology, management, industrial engg, biotechnology etc.
  • Paper submission is open. Submit online or at editor.ijcet@inpressco.com
  • Our journals are indexed in NAAS, University of Regensburg Germany, Google Scholar, Cross Ref etc.
  • DOI is given to all articles

Adaptive Image Retrieval Technique using Texture and Color Features


Author : E Ramalakshmi and Keerthi Lingam

Pages : 2014-2018
Download PDF
Abstract

CBIR is the area in image mining system which performs retrieval based on the similarity defined in terms of extracted features with more objectiveness. It aims at searching image databases for specific images that are similar to a given query image. In CBIR the features of the query image alone are considered and this is the drawback of this technique. Thus, a novel method based on clusters is emerged that improves user interaction with image retrieval systems by fully exploiting the similarity information. In order to reduce the searching time of images from the image database, the query image will be classified in this method. The target image is selected optimally according to the color characteristics with feature vectors which represent typical color distributions. The proposed technique aims to reduce the searching time of image retrieval and hence it improves the performance of image retrieval system.

Keywords: Image Retrieval, CBIR, Cluster Based.

Article published in International Journal of Current  Engineering  and Technology, Vol.4,No.3 (June- 2014)

 

 

Call for Papers
  1. IJCET- March/April 2024 Issue

    Submission Last Date
    30 April 2024
  2. DOI is given to all articles
  3. Current Issue
  4. IJTT-March-2024
  5. IJAIE-March-2024
  6. IJCSB-March-2024
  • Inpressco Google Scholar
  • Inpressco Science Central
  • Inpressco Global impact factor
  • Inpressco aap

International Press corporation is licensed under a Creative Commons Attribution-Non Commercial NoDerivs 3.0 Unported License
©2010-2023 INPRESSCO® All Rights Reserved