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Color and Texture based Image Retrieval

Published on May 2012 by Harshada Anand Khutwad, Ravindra Jinadatta Vaidya
National Conference on Advancement in Electronics & Telecommunication Engineering
Foundation of Computer Science USA
NCAETE - Number 3
May 2012
Authors: Harshada Anand Khutwad, Ravindra Jinadatta Vaidya
87f8a3cf-fea9-47a0-a2ff-9bcc6b2d7326

Harshada Anand Khutwad, Ravindra Jinadatta Vaidya . Color and Texture based Image Retrieval. National Conference on Advancement in Electronics & Telecommunication Engineering. NCAETE, 3 (May 2012), 4-9.

@article{
author = { Harshada Anand Khutwad, Ravindra Jinadatta Vaidya },
title = { Color and Texture based Image Retrieval },
journal = { National Conference on Advancement in Electronics & Telecommunication Engineering },
issue_date = { May 2012 },
volume = { NCAETE },
number = { 3 },
month = { May },
year = { 2012 },
issn = 0975-8887,
pages = { 4-9 },
numpages = 6,
url = { /proceedings/ncaete/number3/6604-1094/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advancement in Electronics & Telecommunication Engineering
%A Harshada Anand Khutwad
%A Ravindra Jinadatta Vaidya
%T Color and Texture based Image Retrieval
%J National Conference on Advancement in Electronics & Telecommunication Engineering
%@ 0975-8887
%V NCAETE
%N 3
%P 4-9
%D 2012
%I International Journal of Computer Applications
Abstract

Content Based Image Retrieval is an interesting and most emerging field in the area of 'Image Search', finding similar images for the given query image from the image database. Current approaches include the use of color, texture and shape information. Considering these features in individual, most of the retrievals are poor in results and sometimes we are getting some non relevant images for the given query image. So, this dissertation proposes a method in which combination of color and texture features of the image is used to improve the retrieval results in terms of its accuracy. For color, color histogram based color correlogram technique and for texture wavelet decomposition technique is used. Color and texture based image retrieval computes image features automatically from a given query image and these are used to retrieve images from database

References
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Index Terms

Computer Science
Information Sciences

Keywords

Cbir Color Based Search Texture Based Searching Color Histogram Pyramid Structure Wavelet Transform Model Euclidean Distance Quadratic Distance Metric