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dc.contributor.authorKayabol, Koray
dc.contributor.authorSankur, Buelent
dc.contributor.authorKuruoglu, Ercan E.
dc.date.accessioned2021-03-05T16:03:09Z
dc.date.available2021-03-05T16:03:09Z
dc.identifier.citationKayabol K., Kuruoglu E. E. , Sankur B., "2D Particle Filter Realization in MRF Modelled Images", IEEE 16th Signal Processing and Communications Applications Conference, Aydın, Türkiye, 20 - 22 Nisan 2008, ss.509-510
dc.identifier.othervv_1032021
dc.identifier.otherav_becd5a1b-31ac-48cb-b6ee-cd433d57ed3a
dc.identifier.urihttp://hdl.handle.net/20.500.12627/126708
dc.identifier.urihttps://doi.org/10.1109/siu.2008.4632663
dc.description.abstractIn this study, we present a 2D particle filter realization on images modelled by MRFs. The essential feature of the approach is the discretization of the posterior density and the evaluation of the MSE estimates of the image using the discretized posterior. The calculation is completely numerical rather than analytical. For simplicity, we adapted a linear image formation model and we studied the noise filtering problem.
dc.language.isoeng
dc.subjectGÖRÜNTÜLEME BİLİMİ VE FOTOĞRAF TEKNOLOJİSİ
dc.subjectKlinik Tıp
dc.subjectKlinik Tıp (MED)
dc.subjectTELEKOMÜNİKASYON
dc.subjectTıp
dc.subjectSağlık Bilimleri
dc.subjectBilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği
dc.subjectSinyal İşleme
dc.subjectMühendislik ve Teknoloji
dc.subjectMÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK
dc.subjectMühendislik
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.title2D Particle Filter Realization in MRF Modelled Images
dc.typeBildiri
dc.contributor.departmentConsiglio Nazionale delle Ricerche (CNR) , ,
dc.contributor.firstauthorID134603


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