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
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;
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2010.5652997