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Pregled bibliografske jedinice broj: 719107

Image Segmentation Using Active Contour Models and Partial Differential Equations


Livada, Časlav; Leventić, Hrvoje; Galić, Irena
Image Segmentation Using Active Contour Models and Partial Differential Equations // Proceedings ELMAR-2014 / Tralić, Dijana ; Muštra, Mario ; Zovko-Cihlar, Branka (ur.).
Zagreb: LotusGRAF, 2014. str. 187-190 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Image Segmentation Using Active Contour Models and Partial Differential Equations

Autori
Livada, Časlav ; Leventić, Hrvoje ; Galić, Irena

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings ELMAR-2014 / Tralić, Dijana ; Muštra, Mario ; Zovko-Cihlar, Branka - Zagreb : LotusGRAF, 2014, 187-190

Skup
56th International Symposium ELMAR-2014

Mjesto i datum
Zadar, Hrvatska, 10-12.09.2014

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
3D reconstruction ; PDEs ; Active Contours ; Non linear-diffusion ; MRI

Sažetak
This article displays benefits of image segmentation for purpose of 3D reconstruction. Medical images and in this case CT slices are being reconstructed in 3D space for better medical investigation. It is relatively hard to use raw images for 3D reconstruction, so certain areas are being singled out using active contour models. Partial Differential Equations (PDEs), as non-linear diffusion, are used for image denoising because CT images have large gradiental areas that need to be evened out.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Ustanove
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek