dc.contributor.author | Bal, Abdullah | |
dc.contributor.author | Kursun, Olcay | |
dc.contributor.author | Karabiber, Fethullah | |
dc.contributor.author | Koc, Cemalettin | |
dc.date.accessioned | 2021-03-05T18:22:49Z | |
dc.date.available | 2021-03-05T18:22:49Z | |
dc.identifier.citation | Kursun O., Karabiber F., Koc C., Bal A., "Hyper-Spectral Image Segmentation Using Spectral Clustering With Covariance Descriptors", Conference on Image Processing - Algorithms and Systems VII, San-Jose, Kostarika, 19 - 22 Ocak 2009, cilt.7245 | |
dc.identifier.other | vv_1032021 | |
dc.identifier.other | av_ca09d70b-64f7-451d-87bb-cd44cd629839 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12627/133857 | |
dc.identifier.uri | https://doi.org/10.1117/12.811132 | |
dc.description.abstract | Image segmentation is an important and difficult computer vision problem. Hyper-spectral images pose even more difficulty due to their high-dimensionality. Spectral clustering (SC) is a recently popular clustering/segmentation algorithm. In general, SC lifts the data to a high dimensional space, also known as the kernel trick, then derive eigenvectors in this new space, and finally using these new dimensions partition the data into clusters. We demonstrate that SC works efficiently when combined with covariance descriptors that can be used to assess pixelwise similarities rather than in the high-dimensional Euclidean space. We present the formulations and some preliminary results of the proposed hybrid image segmentation method for hyper-spectral images. | |
dc.language.iso | eng | |
dc.subject | Temel Bilimler (SCI) | |
dc.subject | GÖRÜNTÜLEME BİLİMİ VE FOTOĞRAF TEKNOLOJİSİ | |
dc.subject | Klinik Tıp | |
dc.subject | Klinik Tıp (MED) | |
dc.subject | RADYOLOJİ, NÜKLEER TIP ve MEDİKAL GÖRÜNTÜLEME | |
dc.subject | Tıp | |
dc.subject | Sağlık Bilimleri | |
dc.subject | Dahili Tıp Bilimleri | |
dc.subject | Nükleer Tıp | |
dc.subject | Bilgisayar Bilimleri | |
dc.subject | Algoritmalar | |
dc.subject | Donanım | |
dc.subject | OPTİK | |
dc.subject | Optik | |
dc.subject | Temel Bilimler | |
dc.subject | Mühendislik ve Teknoloji | |
dc.subject | Elektromanyetizma, Akustik, Isı Transferi, Klasik Mekanik ve Akışkanlar Dinamiği | |
dc.subject | Fizik | |
dc.subject | BİLGİSAYAR BİLİMİ, DONANIM VE MİMARLIK | |
dc.subject | Mühendislik, Bilişim ve Teknoloji (ENG) | |
dc.subject | Bilgisayar Bilimi | |
dc.subject | BİLGİSAYAR BİLİMİ, YAPAY ZEKA | |
dc.title | Hyper-Spectral Image Segmentation Using Spectral Clustering With Covariance Descriptors | |
dc.type | Bildiri | |
dc.contributor.department | Gebze Teknik Üniversitesi , , | |
dc.identifier.volume | 7245 | |
dc.contributor.firstauthorID | 135761 | |