CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Comparative Study on CBIR based by Color Histogram, Gabor and Wavelet Transform

by D. Ashok Kumar, J. Esther
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 17 - Number 3
Year of Publication: 2011
Authors: D. Ashok Kumar, J. Esther
10.5120/2199-2793

D. Ashok Kumar, J. Esther . Comparative Study on CBIR based by Color Histogram, Gabor and Wavelet Transform. International Journal of Computer Applications. 17, 3 ( March 2011), 37-44. DOI=10.5120/2199-2793

@article{ 10.5120/2199-2793,
author = { D. Ashok Kumar, J. Esther },
title = { Comparative Study on CBIR based by Color Histogram, Gabor and Wavelet Transform },
journal = { International Journal of Computer Applications },
issue_date = { March 2011 },
volume = { 17 },
number = { 3 },
month = { March },
year = { 2011 },
issn = { 0975-8887 },
pages = { 37-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume17/number3/2199-2793/ },
doi = { 10.5120/2199-2793 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:04:41.406257+05:30
%A D. Ashok Kumar
%A J. Esther
%T Comparative Study on CBIR based by Color Histogram, Gabor and Wavelet Transform
%J International Journal of Computer Applications
%@ 0975-8887
%V 17
%N 3
%P 37-44
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Content-Based Image Retrieval (CBIR), also known as query by image content (QBIC) Content-based image retrieval (CBIR) system helps users to retrieve relevant images based on their contents. Content Based Image Retrieval (CBIR) technologies provide a method to find images in large databases by using unique descriptors from a trained image. The image descriptors include texture, color, intensity and shape of the object inside an image. In this paper, we compare the several feature extraction techniques viz., Gabor, Wavelet and Histogram over color and texture features applied in a novel way for color image and used for CBIR. The experiments which show that the Gabor filters advice promising results are reported.

References
  1. N. S. Chang and K.S.Fu, 1980, "Image query by Pictorial example," IEEE Trans Software Engineering.
  2. Pengyu Liu, Kebin Jia, Zhuozheng Wang, ZhuoyiLv 2007, “A New and Effective Image Retrieval Method Based on Combined Features “. IEEE.
  3. Y. Rui and T.S. Huang . 1999, 10, pp. 39–62. “Image Retrieval: current techniques, promising directions, and Open issues, Visual Commun, Image Representation.
  4. A.W.M. Smeulders, et al., 2000 “Content-based image retrieval at the end of the early years”, IEEE Trans. Pattern Anal. Mach. Intel, 22, pp. 1349–1379.
  5. Stephane Mallet, 1996, April,”Wavelets for a Vision. Proceeding to the IEEE, Vol. 84:604-685.
  6. Jan de leeuw, sandra pruzansky, December, 1978 A new computational method to fit the weighted Euclid Distance Model, Psychometrika--vol. 43, no. 4.
  7. Tomasz Andrysiak, Michał Chora´, 2005 “Image Retrieval Based On Hierarchical Gabor Filters”, Int. J. Appl. Math. Comput. sci., , Vol. 15, No. 4, 471–480
  8. Wan Siti Halimatul Munirah Wan Ahmad and Mohammad Faizal Ahmad Fauzi, 2008,” Comparison of Different Feature Extraction Techniques in Content-Based Image Retrieval for CT Brain images”, IEEE,
  9. Wei-Ta Chen, Wei-Chuan Liu, and Ming-Syan Chen,August 2010. “Adaptive Color Feature Extraction Based on Image Color Distributions”, IEEE Transactions on Image Processing, Vol. 19, No. 8.
Index Terms

Computer Science
Information Sciences

Keywords

CBIR Histogram Gabor and Wavelet Transform

Powered by PhDFocusTM