Pregled bibliografske jedinice broj: 71692
Energy minimization-based interactive image segmentation
Energy minimization-based interactive image segmentation // Medical Imaging 2001; Image processing / Sonka, Milan; Hanson, Kenneth M. (ur.).
San Diego (CA): The Society of Photo-Optical Instrumentation Engineers, 2001. str. 1542-1549 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 71692 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Energy minimization-based interactive image segmentation
Autori
Kovačević, Domagoj ; Lončarić, Sven
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Medical Imaging 2001; Image processing
/ Sonka, Milan; Hanson, Kenneth M. - San Diego (CA) : The Society of Photo-Optical Instrumentation Engineers, 2001, 1542-1549
Skup
Medical Imaging 2001
Mjesto i datum
San Diego (CA), Sjedinjene Američke Države, 19.02.2001. - 22.02.2001
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
image segmentation; image analysis; medical imaging; energy minimization; region growing
Sažetak
In this work, two novel methods for semi-automatic image segmentation of medical images are presented. The
developed techniques are applied to the problem of medical image segmentation. The two developed approaches
are compared and the results are discussed. The rst method is based on interactive boundary detection where
the user is assisted by the computer in selection of border of the desired anatomical region. The user performs
segmentation by selecting a sparse series of points along the desired region border. The optimal path (border
segment) is calculated based on the minimization of the energy function. The second method is based on interactive
region growing process. The algorithm computes image features along the user-dened path and the computed
features are used in the region-growing process. The region selection process is repeated until the user is satised
with the look of the segmented region. Those two methods are compared to two semi automatic edge and region
based image segmentation techniques.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika