We present application of the semi-implicit complementary volume numerical scheme to solving level set formulation of Riemannian mean curvature flow of graphs in image segmentation, edge detection, missing boundary completion and subjective contour extraction. Our computational method is robust, efficient and stable without any restriction on a time step. The computational results related to medical image segmentation with partly missing boundaries and subjective contour extraction are presented.
u unknown segmentation function
I0 given image.
K.Mikula, A.Sarti, F.Sgallari, Co-volume level set method in subjective surface
based medical image segmentation, in: Handbook of Medical Image Analysis:
Segmentation and Registration Models (J.Suri et al., Eds.), Marcel Dekker Inc,
New York, to appear in 2004 (pdf file)
(poscript file)
