SIH: segmented intensity histogram for orientation estimation in image matching

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dc.authorid0000-0001-9877-5493
dc.contributor.authorPeker, Murat
dc.contributor.authorKarakaya, Fuat
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2016
dc.departmentNiğde ÖHÜ
dc.description.abstractIn this paper, we propose a fast and effective new method to reduce the overhead cost of orientation estimation. The proposed method uses the summation of intensity values from segments of image patches and forms a histogram based on those values. As a result, it is faster than SIFT-like algorithms because it does not require computation of gradient orientations and magnitudes. Also, it is as fast as other intensity-based algorithms with better image matching performance. Proposed method could be easily integrated to any image matching algorithms. Test results indicate that SIFT integrated with proposed orientation estimation method produces comparable results as the original multi-angle SIFT algorithm with less execution time.
dc.identifier.doi10.1007/s11760-016-0869-6
dc.identifier.endpage1142
dc.identifier.issn1863-1703
dc.identifier.issn1863-1711
dc.identifier.issue6
dc.identifier.scopus2-s2.0-84957944698
dc.identifier.scopusqualityQ2
dc.identifier.startpage1135
dc.identifier.urihttps://dx.doi.org/10.1007/s11760-016-0869-6
dc.identifier.urihttps://hdl.handle.net/11480/3582
dc.identifier.volume10
dc.identifier.wosWOS:000382363600019
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthor[0-Belirlenecek]
dc.language.isoen
dc.publisherSPRINGER LONDON LTD
dc.relation.ispartofSIGNAL IMAGE AND VIDEO PROCESSING
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectImage matching
dc.subjectLocal features
dc.subjectDominant orientation
dc.subjectRotation invariance
dc.subjectSIFT
dc.subjectOrientation estimation
dc.subjectKeypoint matching
dc.titleSIH: segmented intensity histogram for orientation estimation in image matching
dc.typeArticle

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