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Reseach Article

CBIR using Combined Feature Vectors of Column-Wise and Row-Wise DCT Transformed Plane Sectorization

by H.b.kekre, Dhirendra Mishra, Rohan Shah, Shikha Shah, Chirag Thakkar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 43 - Number 22
Year of Publication: 2012
Authors: H.b.kekre, Dhirendra Mishra, Rohan Shah, Shikha Shah, Chirag Thakkar
10.5120/6405-8874

H.b.kekre, Dhirendra Mishra, Rohan Shah, Shikha Shah, Chirag Thakkar . CBIR using Combined Feature Vectors of Column-Wise and Row-Wise DCT Transformed Plane Sectorization. International Journal of Computer Applications. 43, 22 ( April 2012), 35-41. DOI=10.5120/6405-8874

@article{ 10.5120/6405-8874,
author = { H.b.kekre, Dhirendra Mishra, Rohan Shah, Shikha Shah, Chirag Thakkar },
title = { CBIR using Combined Feature Vectors of Column-Wise and Row-Wise DCT Transformed Plane Sectorization },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 43 },
number = { 22 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 35-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume43/number22/6405-8874/ },
doi = { 10.5120/6405-8874 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:34:01.015865+05:30
%A H.b.kekre
%A Dhirendra Mishra
%A Rohan Shah
%A Shikha Shah
%A Chirag Thakkar
%T CBIR using Combined Feature Vectors of Column-Wise and Row-Wise DCT Transformed Plane Sectorization
%J International Journal of Computer Applications
%@ 0975-8887
%V 43
%N 22
%P 35-41
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Content Based Image Retrieval is a way of computer viewing technique used to retrieve digital images from a huge database. In this paper we have first calculated the feature vector column-wise and row-wise separately. After this we have concatenated the feature vectors of column-wise and row-wise. To evaluate the performance of the proposed method we have used Precision-Recall crossover point, LIRS, LSRR and LSRI. Sum of Absolute Distance and Euclidean Distance are the two similarity measures used. The column-row wise DCT transformed image is sectorized on the basis of even-odd column components of transformed image with augmentation of zero and highest row components. The proposed algorithm is applied to a database of thousand images. These thousand images are grouped in ten different classes. Performance is evaluated and compared for 4, 8, 12, 16 DCT sectors.

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Index Terms

Computer Science
Information Sciences

Keywords

The General Terms Used Are Cbir (content Based Image Retrieval) Lsrr Lirs Absolute Distance Lsri (longest String Of Relevant Retrieved Images)