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Bibliographic record number: 719107


Authors: Livada, Časlav; Leventić, Hrvoje; Galić, Irena
Title: Image Segmentation Using Active Contour Models and Partial Differential Equations
Source: Proceedings ELMAR-2014 / Tralić, Dijana ; Muštra, Mario ; Zovko-Cihlar, Branka (ed). - Zagreb : LotusGRAF , 2014. 187-190.
Meeting: 56th International Symposium ELMAR-2014
Location and date: Zadar, Hrvatska, 10-12.09.2014.
Keywords: 3D reconstruction ; PDEs ; Active Contours ; Non linear-diffusion ; MRI
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.
Type of meeting: Predavanje
Type of presentation in a journal: Full-text (1500 words and more)
Type of peer-review: International peer-review
Original language: ENG
Category: Znanstveni
Research fields:
Electrical engineering,Computer science,Information and communication sciences
Contrib. to CROSBI by: Časlav Livada (, 7. Lis. 2014. u 11:50 sati

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