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Content Based Image Recovery Approaches Using Graphical Image Recovery Procedure (GIRP)

M.S. Kumar1 , A.I. Mercy2

Section:Research Paper, Product Type: Journal Paper
Volume-2 , Issue-9 , Page no. 151-157, Sep-2014

Online published on Oct 04, 2014

Copyright © M.S. Kumar, A.I. Mercy . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: M.S. Kumar, A.I. Mercy, “Content Based Image Recovery Approaches Using Graphical Image Recovery Procedure (GIRP),” International Journal of Computer Sciences and Engineering, Vol.2, Issue.9, pp.151-157, 2014.

MLA Style Citation: M.S. Kumar, A.I. Mercy "Content Based Image Recovery Approaches Using Graphical Image Recovery Procedure (GIRP)." International Journal of Computer Sciences and Engineering 2.9 (2014): 151-157.

APA Style Citation: M.S. Kumar, A.I. Mercy, (2014). Content Based Image Recovery Approaches Using Graphical Image Recovery Procedure (GIRP). International Journal of Computer Sciences and Engineering, 2(9), 151-157.

BibTex Style Citation:
@article{Kumar_2014,
author = {M.S. Kumar, A.I. Mercy},
title = {Content Based Image Recovery Approaches Using Graphical Image Recovery Procedure (GIRP)},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {9 2014},
volume = {2},
Issue = {9},
month = {9},
year = {2014},
issn = {2347-2693},
pages = {151-157},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=269},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=269
TI - Content Based Image Recovery Approaches Using Graphical Image Recovery Procedure (GIRP)
T2 - International Journal of Computer Sciences and Engineering
AU - M.S. Kumar, A.I. Mercy
PY - 2014
DA - 2014/10/04
PB - IJCSE, Indore, INDIA
SP - 151-157
IS - 9
VL - 2
SN - 2347-2693
ER -

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Abstract

This document stretches a transitory account of a scheme industrialized for redeemable images alike to an enquiry image after a big set of distinct images. It shadows an image division based tactic to excerpt the dissimilar topographies current in an image. These topographies are stowed in vectors called eye vectors and likened to the eye vectors of enquiry image and thus, the image catalogue is organized in lessening instruction of similarity. Dissimilar after outdated dimensionality discount procedures such as Principal constituent examination (PCA) and lined differentiate examination (LDA), which professionally see only the worldwide euclidean structure, GIRP is envisioned for knowledge the local various structure. Therefore, GIRP is probable to be additional appropriate for image retrieval, where adjacent national hunt is usually involved. After projecting the images hooked on an inferior dimensional subspace, the pertinent images become earlier to the enquiry image; thus, the recovery presentation can be enhanced.

Key-Words / Index Term

CBIR, Hyper media info system, Image retrival, Significaance reply image eye extraction, Image analysis, Image search, Image resemblance

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