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Image Retrieval using Steerable Pyramid

by Swapna Borde, Udhav Bhosle
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 38 - Number 7
Year of Publication: 2012
Authors: Swapna Borde, Udhav Bhosle
10.5120/4700-6853

Swapna Borde, Udhav Bhosle . Image Retrieval using Steerable Pyramid. International Journal of Computer Applications. 38, 7 ( January 2012), 23-29. DOI=10.5120/4700-6853

@article{ 10.5120/4700-6853,
author = { Swapna Borde, Udhav Bhosle },
title = { Image Retrieval using Steerable Pyramid },
journal = { International Journal of Computer Applications },
issue_date = { January 2012 },
volume = { 38 },
number = { 7 },
month = { January },
year = { 2012 },
issn = { 0975-8887 },
pages = { 23-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume38/number7/4700-6853/ },
doi = { 10.5120/4700-6853 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:24:15.921712+05:30
%A Swapna Borde
%A Udhav Bhosle
%T Image Retrieval using Steerable Pyramid
%J International Journal of Computer Applications
%@ 0975-8887
%V 38
%N 7
%P 23-29
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The Content Based Image Retrieval System (CBIR) is a system, which retrieves the similar images from an image collection based on visual features such as color, texture and shape. It is an active and emerging research field in computer vision. In this paper, content based image retrieval (CBIR) is done using the image feature set extracted from Steerable Pyramid applied on the image at two levels (Level-1 and Level-2) of decomposition. The performance is evaluated using standard bench marks such as Precision and Recall. Our experiments are conducted on a database of 445 images with five different classes and successful matching results are obtained by using Steerable Pyramid Level-2.

References
  1. Minh N. Do, Member, IEEE, and Martin Vetterli, Fellow, IEEE,” Wavelet-Based Texture Retrieval Using Generalized Gaussian Density and Kullback-Leibler Distance,” IEEE Transactions On Image Processing, VOL.11, NO.2, February 2002.
  2. Dr. Fuhui Long, Dr. Hongjiang Zhang and Prof. David Dagan Feng,” Fundamentals of Content-Based Image Retrieval,”
  3. Michele Saad,” Content Based Image Retrieval Literature Survey “,EE 381K: Multi Dimensional Digital Signal Processing , March 18, 2008
  4. Lei Zhu, Chun Tang, Aibing Rao and Aidong Zhang,”Using Thesaurus To Model Keyblock-Based Image Retrieval ,” Technical Report, Department of Computer Science and Engineering , State University of New York At Buffalo,Buffalo,NY 14260,USA.
  5. Truong T. Nguyen and Soontorn Oraintara ,” Texture Image Retrieval Using Complex Directional Filter Bank “,Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX 76019–0016.
  6. Ch.Srinivasa rao *, S. Srinivas kumar #, B.N.Chatterji ,” Content Based Image Retrieval using Contourlet Transform “,Research scholar, ECE Dept., JNTUCE, Kakinada, A.P, India. , Professor of ECE, JNTUCE, Kakinada, A.P, India. Former Professor, E&ECE Dept., IIT, Kharagpur, W.B, India.
Index Terms

Computer Science
Information Sciences

Keywords

Content Based Image Retrieval (CBIR) Steerable Pyramid (SP).

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