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dc.contributor.authorMurala S.-
dc.contributor.authorMaheshwari R.P.-
dc.contributor.authorBalasubramanian R.-
dc.date.accessioned2020-10-09T04:42:49Z-
dc.date.available2020-10-09T04:42:49Z-
dc.date.issued2012-
dc.identifier.citationInternational Journal of Multimedia Information Retrieval (2012), 1(3): 191-203-
dc.identifier.issn21926611-
dc.identifier.urihttps://doi.org/10.1007/s13735-012-0008-2-
dc.identifier.urihttp://repository.iitr.ac.in/handle/123456789/7290-
dc.description.abstractIn this paper, a new algorithm using directional local extrema patterns meant for content-based image retrieval application is proposed. The standard local binary pattern (LBP) encodes the relationship between reference pixel and its surrounding neighbors by comparing gray-level values. The proposed method differs from the existing LBP in a manner that it extracts the directional edge information based on local extrema in 0°,45°,90°, and 135° directions in an image. Performance is compared with LBP, block-based LBP (BLK_LBP), center-symmetric local binary pattern (CS-LBP), local edge patterns for segmentation (LEPSEG), local edge patterns for image retrieval (LEPINV), and other existing transform domain methods by conducting four experiments on benchmark databases viz. Corel (DB1) and Brodatz (DB2) databases. The results after being investigated show a significant improvement in terms of their evaluation measures as compared with other existing methods on respective databases. © 2012, Springer-Verlag London Limited.-
dc.language.isoen_US-
dc.publisherSpringer London-
dc.relation.ispartofInternational Journal of Multimedia Information Retrieval-
dc.subjectDatabases-
dc.subjectImage retrieval-
dc.subjectLocal binary patterns (LBP)-
dc.subjectPattern Recognition-
dc.subjectTexture-
dc.titleDirectional local extrema patterns: a new descriptor for content based image retrieval-
dc.typeArticle-
dc.scopusid26639647100-
dc.scopusid8941720600-
dc.scopusid7103127999-
dc.affiliationMurala, S., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India-
dc.affiliationMaheshwari, R.P., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India-
dc.affiliationBalasubramanian, R., Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India-
dc.description.correspondingauthorMurala, S.; Department of Electrical Engineering, Indian Institute of Technology RoorkeeIndia; email: subbumurala@gmail.com-
Appears in Collections:Journal Publications [EE]

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