Multichannel image segmentation using adaptive finite elements

Fried M (2009)

Publication Type: Journal article

Publication year: 2009


Publisher: Springer Verlag

Book Volume: 12

Pages Range: 125 - 135

Journal Issue: 3


We present an adaptive finite element algorithm for segmentation with denoising of multichannel images in two dimensions, of which an extension to three dimensional images is straight forward. It is based on a level set formulation of the Mumford–Shah approach proposed by Chan and Vese in (JVCIR 11:130–141,(2000); IEEE Trans Image Proces 10(2):266–277, (2001); Int J Comp Vis 50(3):271–293, (2002)) In case of a minimal partition problem an exact solution is given and convergence of the discrete solution towards this solution is numerically verified.

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How to cite


Fried, M. (2009). Multichannel image segmentation using adaptive finite elements. Computing and Visualization in Science, 12(3), 125 - 135.


Fried, Michael. "Multichannel image segmentation using adaptive finite elements." Computing and Visualization in Science 12.3 (2009): 125 - 135.

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