Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/2994
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dc.contributor.authorKakde, Bhavana-
dc.contributor.authorOkade, Manish-
dc.date.accessioned2018-05-02T07:06:01Z-
dc.date.available2018-05-02T07:06:01Z-
dc.date.issued2018-04-
dc.identifier.citation3rd International Conference for Convergence in Technology (I2CT), Pune, Maharastra, India, 06 - 08 April, 2018.en_US
dc.identifier.urihttp://hdl.handle.net/2080/2994-
dc.descriptionCopyright of this document belongs to proceedings publisher.en_US
dc.description.abstractThis proposed work introduces a novel technique for Fast Content-Based Image Retrieval (CBIR) using Dual-Cross Patterns (DCP). DCP encodes second order information in the vertical, horizontal and diagonal direction, by performing the encoding of sample points in the local surrounding region of every center pixel in an image. The local binary pattern (LBP), an efficient visual texture descriptor, performs a comparison between the center pixel and its neighboring pixel. Local tetra patterns (LTrP) is a method which acquires more detailed information by using four possible directions of every center pixel in an image, and is calculated from firstorder derivatives in horizontal and vertical directions. To analyze its effectiveness, the proposed technique, LBP, and LTrP are compared. Our extensive simulation on Corel database shows that the proposed technique has better time complexity compared to these methods.en_US
dc.subjectCBIRen_US
dc.subjectQuery imageen_US
dc.subjectLocal samplingen_US
dc.subjectPattern recognitionen_US
dc.subjectDual-cross patterns(DCP)en_US
dc.subjectPattern encodingen_US
dc.subjectLocal tetra patterns (LTrP)en_US
dc.titleA Novel Technique for Fast Content-Based Image Retrieval using Dual-Cross Patternsen_US
dc.typeArticleen_US
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