We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

An Efficient Content based Image Retrieval: CBIR

by Shaziya Khan, Shamaila Khan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 152 - Number 6
Year of Publication: 2016
Authors: Shaziya Khan, Shamaila Khan
10.5120/ijca2016911885

Shaziya Khan, Shamaila Khan . An Efficient Content based Image Retrieval: CBIR. International Journal of Computer Applications. 152, 6 ( Oct 2016), 33-37. DOI=10.5120/ijca2016911885

@article{ 10.5120/ijca2016911885,
author = { Shaziya Khan, Shamaila Khan },
title = { An Efficient Content based Image Retrieval: CBIR },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2016 },
volume = { 152 },
number = { 6 },
month = { Oct },
year = { 2016 },
issn = { 0975-8887 },
pages = { 33-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume152/number6/26326-2016911885/ },
doi = { 10.5120/ijca2016911885 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:57:29.219430+05:30
%A Shaziya Khan
%A Shamaila Khan
%T An Efficient Content based Image Retrieval: CBIR
%J International Journal of Computer Applications
%@ 0975-8887
%V 152
%N 6
%P 33-37
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Due to the exponential growth of image data there is a dire need for innovative tools which can easily manage, retrieve images and images from the large image database. The most common approach which is being used is Content-Based Image Retrieval (CBIR) system. CBIR is the popular image retrieval system by which reterived the targetted image can be retrieved by matching the features of the given image. The goal of this paper is to develop an image retrieval based on content properties such as shape, color, texture etc. usually encoded into feature vectors. One of the main advantages of the CBIR approach is the possibility of an automatic retrieval process instead of the traditional keyword-based approach. The CBIR technology has been used in several applications such as fingerprint identification, biodiversity information systems, digital libraries, medicine and historical research among others. This paper aims to develop a new efficient tool for CBIR based on above mention parameters using MATLAB.

References
  1. Gaurav Jaswal Asmit Kaul , “ Content Based Image Retrieval ”, National Conference on Computing, Communication and Control , A Literature Review , National Institute of Technology, Hamirpur- 177001, Himachal Pradesh(India).
  2. R.Senthil Kumar, Dr.M.Senthilmurugan, “Content-Based Image Retrieval System in Medical”,International Journal of Engineering Research & Technology (IJERT),Vol. 2 Issue 3, March – 2013,ISSN: 2278-0181.
  3. Ivan Lee, Paisarn Muneesawang, Ling Guan, “Automatic Relevance Feedback for Distributed Content-Based Image Retrieval”,ICGST, ieee.org FLEXChip Signal Processor (MC68175/D), Motorola, 1996.
  4. Paolo Parisen Toldin, “A survey on contentbased image retrieval/browsing systems exploiting semantic”, 2010-09-13.
  5. M. Sifuzzaman, M.R. Islam and M.Z. Ali ,“Application of Wavelet Transform and its Advantages Compared to Fourier Transform ”, Journal of Physical Sciences, Vol. 13, 2009, 121-134 ISSN: 0972- 8791 .
  6. Pooja Verma, Manish Mahajan, “Retrieval of better results by using shape techniques for content based retrieval”,IJCSC ,Vol. 3, No.2, January-June 2012, pp. 254-257, ISSN: 0973-7391. Nidhi Singhai,Prof. Shishir K. Shandilya , “A Survey On: Content Based Image Retrieval Systems ”, International Journal of Computer Applications (0975 – 8887) Volume 4 – No.2, July 2010.
  7. Jean-Francois Omhover, Marcin Detyniecki,University P. et M. Curie – CNRS, rue du Capitaine Scott, “Combining text and image retrieval”.
  8. Ryszard S. Chora´s, “Image Feature Extraction Techniques and Their Applications for CBIR and Biometrics Systems”, International Journal of Biology and Biomedical Engineering Issue 1, Vol. 1, 2007.
  9. Swapnalini Pattanaik, Prof.D.G.Bhalke, “Beginners to Content Based Image Retrieval”, International Journal of Scientific Research Engineering &Technology (IJSRET),Volume 1 Issue2 pp 040-044 May 2012 www. ijsret.org ISSN 2278 – 0882,IJSRET ,2012.
Index Terms

Computer Science
Information Sciences

Keywords

Image processing Colour Size Shape Texture precision and Recall