DocumentCode :
3358468
Title :
Using a geometric formulation of annular-like shape priors for constraining variational level-sets
Author :
Alessandrini, M. ; Dietenbeck, T. ; Basset, O. ; Friboulet, D. ; Bernard, O.
Author_Institution :
ARCES-DEIS, Univ. of Bologna, Bologna, Italy
fYear :
2010
fDate :
26-29 Sept. 2010
Firstpage :
669
Lastpage :
672
Abstract :
In this paper we address the segmentation of shapes which may be approximated by two elliptical contours. Such patterns are indeed recurrent in many image processing applications. In this context, we develop a level-set framework especially dedicated to the detection of annular-like shapes. The behavior of this approach is illustrated on images from different fields. An evaluation is then performed for myocardium detection in medical images.
Keywords :
computational geometry; image segmentation; annular-like shape priors; annular-like shapes; elliptical contour; geometric formulation; medical image; myocardium detection; shape segmentation; variational level-set; Active contours; Image segmentation; Ink; Magnetic resonance imaging; Shape; Ultrasonic imaging; annular shapes; level-sets; shape prior;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
ISSN :
1522-4880
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2010.5652997
Filename :
5652997
Link To Document :
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