International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume3,November 2016,

Topic : Content-Based Image Retrieval Using Local Orientation Gradient XoR Patterns

Authors:A. HariPrasad Reddy || N. SubhashChandra

Abstract:This paper presents a novel feature extraction method, local orientation gradient XoR patterns (LOGXoRP) for image indexing and retrieval. The LOGXoRP encodes the exclusive OR (XoR) operation between the centre pixel and its surrounding neighbours of quantized orientation and gradient values. Whereas local binary patterns (LBP) and local gradient patterns (LGP) encode the relationship between the grey values of the center pixel and its neighbours. We show that the LOGXoRP can extract effective texture (edge) features as compared to LBP and LGP. The performance of the proposed method is tested by conducting two experiments on Corel-5K and Corel-10K databases. The results after being investigated the proposed method shows a significant improvement in terms of their evaluation measures as compared to LBP, LGP and other existing state-of-art techniques on respective databases..

Keywords: Feature Extraction; Local Binary Patterns (LBP); Local Gradient Pattern (LGP); Content Based Image Retrieval (CBIR); Texture

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DOI: 01.1617/vol3/iss11/pid86497


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
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