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dc.contributor.authorAkman, ET
dc.date.accessioned2021-03-06T12:11:09Z
dc.date.available2021-03-06T12:11:09Z
dc.identifier.citationAkman E., "DSNR analysis of step and ridge edge detection via Hilbert transform", FREQUENZ, cilt.59, ss.182-185, 2005
dc.identifier.issn0016-1136
dc.identifier.othervv_1032021
dc.identifier.otherav_f2b104fd-b7ae-4ff2-955e-c0669ec0b782
dc.identifier.urihttp://hdl.handle.net/20.500.12627/159157
dc.identifier.urihttps://doi.org/10.1515/freq.2005.59.7-8.182
dc.description.abstractIn this paper, the analytical expressions of discriminative signal to noise ratio (DSNR)of step-edge and ridge-edge via Hilbert transform (HT) have been derived. Firstly we revisit those expressions evaluated for step-edge by using Canny's edge detector (CED) and step expansion filter (SEF). Although SEF is optimal for step edges in terms of DSNR criterion, it is not optimal with respect to a variety of edge types. The matching filter has to be modified for different edge types. But a local energy measure obtained via HT can detect any kind of edges. The results obtained by HT are compared with the results of SEF and CED.
dc.language.isoeng
dc.subjectMühendislik ve Teknoloji
dc.subjectSinyal İşleme
dc.subjectBilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectMühendislik
dc.subjectMÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK
dc.titleDSNR analysis of step and ridge edge detection via Hilbert transform
dc.typeMakale
dc.relation.journalFREQUENZ
dc.contributor.department, ,
dc.identifier.volume59
dc.identifier.startpage182
dc.identifier.endpage185
dc.contributor.firstauthorID175496


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