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Reseach Article

CBIR System using Color Moment and Color Auto-Correlogram with Block Truncation Coding

by Vandana Vinayak, Sonika Jindal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 161 - Number 9
Year of Publication: 2017
Authors: Vandana Vinayak, Sonika Jindal

Vandana Vinayak, Sonika Jindal . CBIR System using Color Moment and Color Auto-Correlogram with Block Truncation Coding. International Journal of Computer Applications. 161, 9 ( Mar 2017), 1-7. DOI=10.5120/ijca2017913282

@article{ 10.5120/ijca2017913282,
author = { Vandana Vinayak, Sonika Jindal },
title = { CBIR System using Color Moment and Color Auto-Correlogram with Block Truncation Coding },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2017 },
volume = { 161 },
number = { 9 },
month = { Mar },
year = { 2017 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2017913282 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-07T00:06:57.121445+05:30
%A Vandana Vinayak
%A Sonika Jindal
%T CBIR System using Color Moment and Color Auto-Correlogram with Block Truncation Coding
%J International Journal of Computer Applications
%@ 0975-8887
%V 161
%N 9
%P 1-7
%D 2017
%I Foundation of Computer Science (FCS), NY, USA

In content-based Image Retrieval (CBIR) application, a large amount of data is processed. Among various low-level features like color, shape and texture, color is an important feature and represented in the form of histogram. It is essential that features required to be coded in such a way that the storage space requirement is low and processing speed is high. In this paper, we propose a method for indexing of images in the large database with lossy compression technique known as Block Truncation Coding (BTC) along with two different color feature extraction methods - Color Moment and Color Auto-correlogram. Block truncation coding divided the original image into multiple non-overlapping blocks and then retrieve the required features. The proposed method performs better.

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Index Terms

Computer Science
Information Sciences


CBIR Color Moment Color Auto-Correlogram Block Truncation Coding