This paper is concerned itself with the analysis of the two-phase Mumford-Shah model also known as the active contour without edges model introduced by Chan and Vese. It consists of approximating an observed image by a piecewise constant image which can take only two values. First we show that this model with the L1-norm as data fidelity yields a contrast invariant filter which is a well known property of morphological filters. Then we consider a discrete version of the original problem. We show that an inclusion property holds for the minimizers. The latter is used to design an efficient graph-cut based algorithm which computes an exact minimizer. Some preliminary results are presented. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Darbon, J. (2007). A note on the discrete binary Mumford-Shah model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4418 LNCS, pp. 283–294). Springer Verlag. https://doi.org/10.1007/978-3-540-71457-6_26
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