Pregled bibliografske jedinice broj: 719107
Image Segmentation Using Active Contour Models and Partial Differential Equations
Image Segmentation Using Active Contour Models and Partial Differential Equations // Proceedings ELMAR-2014 / Tralić, Dijana ; Muštra, Mario ; Zovko-Cihlar, Branka (ur.).
Zagreb, 2014. str. 187-190 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 719107 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
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, 2014, 187-190
Skup
56th International Symposium ELMAR-2014
Mjesto i datum
Zadar, Hrvatska, 10.09.2014. - 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
