CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Content based Image Retrieval using Selective Region Matching with Region of Interest and SVM

by Sahil Charaya, Sonika Jindal, Bhavneet Kaur
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 137 - Number 3
Year of Publication: 2016
Authors: Sahil Charaya, Sonika Jindal, Bhavneet Kaur
10.5120/ijca2016908667

Sahil Charaya, Sonika Jindal, Bhavneet Kaur . Content based Image Retrieval using Selective Region Matching with Region of Interest and SVM. International Journal of Computer Applications. 137, 3 ( March 2016), 28-33. DOI=10.5120/ijca2016908667

@article{ 10.5120/ijca2016908667,
author = { Sahil Charaya, Sonika Jindal, Bhavneet Kaur },
title = { Content based Image Retrieval using Selective Region Matching with Region of Interest and SVM },
journal = { International Journal of Computer Applications },
issue_date = { March 2016 },
volume = { 137 },
number = { 3 },
month = { March },
year = { 2016 },
issn = { 0975-8887 },
pages = { 28-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume137/number3/24257-2016908667/ },
doi = { 10.5120/ijca2016908667 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:37:22.770473+05:30
%A Sahil Charaya
%A Sonika Jindal
%A Bhavneet Kaur
%T Content based Image Retrieval using Selective Region Matching with Region of Interest and SVM
%J International Journal of Computer Applications
%@ 0975-8887
%V 137
%N 3
%P 28-33
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Recently, very large collections of images and videos have grown rapidly. In parallel with this growth, content-based retrieval and querying the indexed collections are required to access visual information. Three main components of the visual information are color, texture and shape. In this paper, a selective region based content-based image retrieval system is presented that combines two visual descriptors of images and measures similarity of images by applying a SVM Classification. Paper. Here, the selective region matching with Region of Interest and SVM classification based CBIR retrieval system for imaging is presented in order to provide better image classification and fast image retrieval. In the proposed method the color and texture features like contrast, mean, standard deviation, energy and entropy are extracted from the image. Also it is shown through experimental results and analysis of retrieval effectiveness of querying that the content-based retrieval system is effective in terms of retrieval and scalability.

References
  1. N. Shrivastava and V. Tyagi, “Content based image retrieval based on relative locations of multiple regions of interest using selective regions matching,” Inf. Sci. (Ny)., vol. 259, pp. 212–224, Feb. 2014.
  2. Sasheendran, Nivya, and C. Bhuvaneswari. "An effective CBIR (Content Based Image Retrieval) approach using Ripplet transforms." Circuits, Power and Computing Technologies (ICCPCT), 2013 International Conference on. IEEE, 2013.
  3. Singha, Manimala, and K. Hemachandran. "Content based image retrieval using color and texture." Signal & Image Processing: An International Journal (SIPIJ) 3.1 (2012): 39-57.
  4. Baharudin, Baharum. "Effective content-based image retrieval: Combination of quantized histogram texture features in the DCT domain." Computer & Information Science (ICCIS), 2012 International Conference on. Vol. 1. IEEE, 2012.
  5. Zhang, Lei, Fuzong Lin, and Bo Zhang. "Support vector machine learning for image retrieval." Image Processing, 2001. Proceedings. 2001 International Conference on. Vol. 2. IEEE, 2001
  6. Chen, Yunqiang, Xiang Sean Zhou, and Thomas S. Huang. "One-class SVM for learning in image retrieval." Image Processing, 2001. Proceedings. 2001 International Conference on. Vol. 1. IEEE, 2001.
  7. Jain, Sonali, and Satyam Shrivastava. "A novel approach for image classification in Content based image retrieval using support vector machine." Intermational Journal of Computer Science & Engineering (IJCSET) Vol 4 (2013).
  8. Prabhu, Jeyanthi, and Jawahar Senthil Kumar. "Wavelet Based Content Based Image Retrieval Using Color and Texture Feature Extraction bY Gray Level Coocurence Matrix and Color Coocurence Matrix." Journal of Computer Science 10.1 (2014): 15.
  9. Kumar, K. Ashok, and YV Bhaskar Reddy. "Content Based Image Retrieval Using SVM Algorithm." international Journal of Electrical and Electronics Engineering (IJEEE) ISSN (PRINT) 2231 (2012): 5284.
  10. Huang, Zhi-Chun, et al. "Content-based image retrieval using color moment and Gabor texture feature." Machine Learning and Cybernetics (ICMLC), 2010 International Conference on. Vol. 2. IEEE, 2010.
  11. Iqbal, Kashif, Michael O. Odetayo, and Anne James. "Content-based image retrieval approach for biometric security using colour, texture and shape features controlled by fuzzy heuristics." Journal of Computer and System Sciences 78.4 (2012): 1258-1277.
  12. Kaur, Simardeep, and Dr Vijay Kumar Banga. "Content based image retrieval: Survey and comparison between rgb and hsv model." International Journal of Engineering Trends and Technology 4.4 (2013): 575-579.
  13. Wang, Xingyuan, and Zongyu Wang. "The method for image retrieval based on multi-factors correlation utilizing block truncation coding." Pattern Recognition 47.10 (2014): 3293-3303.
  14. Penatti, Otávio AB, Eduardo Valle, and Ricardo da S. Torres. "Comparative study of global color and texture descriptors for web image retrieval." Journal of Visual Communication and Image Representation 23.2 (2012): 359-380.
  15. Bhavneet Kaur, Sonika Jindal, “Accelerating CBIR System using Graphics Processing Unit in OPEN CV environment” ,(IJCA) International Journal of Computer Applications, Volume 8,Page No. 8,September,(2015) ISSN: 0975 – 8887
  16. Bhavneet Kaur, Sonika Jindal, “An Implementation of Feature Extraction over medical Images on OPEN CV Environment”, (ICDCCom)2014 International Conference on Devices, Circuits and Communications, Pages 1—6, September 2014,DOI: 10.1109/ICDCCom.2014.7024695
Index Terms

Computer Science
Information Sciences

Keywords

Content-Based Image Retrieval (CBIR) Support Vector Machine (SVM) Color Moments Texture.

Powered by PhDFocusTM