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Performance Comparison of Gradient Mask Texture based Image Retrieval Techniques using Global and Local Hybrid Wavelet Transforms with Ternary Image Maps

by H. B. Kekre, Sudeep D. Thepade, Varun K. Banura, Sanchit Khandelwal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 46 - Number 2
Year of Publication: 2012
Authors: H. B. Kekre, Sudeep D. Thepade, Varun K. Banura, Sanchit Khandelwal
10.5120/6881-9184

H. B. Kekre, Sudeep D. Thepade, Varun K. Banura, Sanchit Khandelwal . Performance Comparison of Gradient Mask Texture based Image Retrieval Techniques using Global and Local Hybrid Wavelet Transforms with Ternary Image Maps. International Journal of Computer Applications. 46, 2 ( May 2012), 27-35. DOI=10.5120/6881-9184

@article{ 10.5120/6881-9184,
author = { H. B. Kekre, Sudeep D. Thepade, Varun K. Banura, Sanchit Khandelwal },
title = { Performance Comparison of Gradient Mask Texture based Image Retrieval Techniques using Global and Local Hybrid Wavelet Transforms with Ternary Image Maps },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 46 },
number = { 2 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 27-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume46/number2/6881-9184/ },
doi = { 10.5120/6881-9184 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:40:41.071263+05:30
%A H. B. Kekre
%A Sudeep D. Thepade
%A Varun K. Banura
%A Sanchit Khandelwal
%T Performance Comparison of Gradient Mask Texture based Image Retrieval Techniques using Global and Local Hybrid Wavelet Transforms with Ternary Image Maps
%J International Journal of Computer Applications
%@ 0975-8887
%V 46
%N 2
%P 27-35
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The theme of the work presented here is performance comparison of gradient mask texture based image retrieval techniques using global and local hybrid wavelet transforms generated from the combination of Walsh, Haar and Kekre transforms. Ternary image maps of Prewitt/Robert/Sobel filtered images are compared with '64-pattern' texture set generated using local and global hybrid wavelet transforms for matching number of ones, minus ones & zeros per texture pattern. The proposed content based image retrieval (CBIR) techniques are tested on a generic image database having 1000 images spread across 11 categories. For each proposed CBIR technique 55 queries (randomly selected 5 per image category) are fired on the image database. To compare the performance of image retrieval techniques average precision and recall of all the queries per image retrieval technique are computed. In the discussed image retrieval methods, the '64-pattern' shape texture generated using Haar-Walsh (HW) global hybrid wavelet transform matrix with Sobel as gradient operator gives the highest crossover point of precision and recall indicating better performance.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Cbir Walsh Haar Kekre Hybrid Wavelet Transforms Texture Patterns Shape Ternary Image Maps

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