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Comparative study on Content based Image Retrieval based on Gabor Texture Features at Different Scales of Frequency and Orientations

by S. Mangijao Singh, Raju Rajkumar, K. Hemachandran
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 78 - Number 7
Year of Publication: 2013
Authors: S. Mangijao Singh, Raju Rajkumar, K. Hemachandran
10.5120/13498-1238

S. Mangijao Singh, Raju Rajkumar, K. Hemachandran . Comparative study on Content based Image Retrieval based on Gabor Texture Features at Different Scales of Frequency and Orientations. International Journal of Computer Applications. 78, 7 ( September 2013), 1-7. DOI=10.5120/13498-1238

@article{ 10.5120/13498-1238,
author = { S. Mangijao Singh, Raju Rajkumar, K. Hemachandran },
title = { Comparative study on Content based Image Retrieval based on Gabor Texture Features at Different Scales of Frequency and Orientations },
journal = { International Journal of Computer Applications },
issue_date = { September 2013 },
volume = { 78 },
number = { 7 },
month = { September },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume78/number7/13498-1238/ },
doi = { 10.5120/13498-1238 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:50:57.465609+05:30
%A S. Mangijao Singh
%A Raju Rajkumar
%A K. Hemachandran
%T Comparative study on Content based Image Retrieval based on Gabor Texture Features at Different Scales of Frequency and Orientations
%J International Journal of Computer Applications
%@ 0975-8887
%V 78
%N 7
%P 1-7
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Content-Based Image Retrieval (CBIR) systems help users to retrieve relevant images based on their contents such as color and texture. In this paper, a study has been made on the application of Gabor Wavelet Transform for texture classification at different values of the number of scales(S) and the number of orientations (K). Texture features are found by calculating the mean and variation of Gabor filtered image. The image indexing and retrieval are conducted on natural images. Based on experiments, Gabor wavelet at five scales of frequency and four orientations gives better performance than the other commonly used scales and orientations i. e. , three scales and four orientations, three scales and six orientations, four scales and five orientations, four scales and six orientations and five scales and six orientations.

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Index Terms

Computer Science
Information Sciences

Keywords

CBIR Gabor wavelet Canberra distance Texture

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