D. Cremers, C. Schnörr, J. Weickert, C. Schellewald,
Diffusion-snakes using statistical shape knowledge,
Report 11/2000, Computer Science Series, Dept. of Mathematics and
Computer Science, University of Mannheim, 68131 Mannheim, Germany,
March 2000.
We present a novel extension of the Mumford-Shah functional that
allows to incorporate statistical shape knowledge at the computational
level of image segmentation. Our approach exhibits various favourable
properties: non-local convergence, robustness against noise, and the
ability to take into consideration both shape evidence in given image
data and knowledge about learned shapes. In particular, the latter
properties distinguishes our approach from previous work on contour
evolution based image segmentation. Experimental results confirm these
properties.
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