Abstract
Energy-minimizing techniques are an interesting approach to the segmentation problem. They extract image components by deforming a geometric model according to energy constraints. This paper proposes an extension to these works, which can segment arbitrarily complex image components in any dimension. The geometric model is a digital surface with which an energy is associated. The model grows inside the component to segment by following minimal energy paths. The segmentation result is obtained a posteriori by examining the energies of the successive model shapes. We validate our approach on several 2D images.
Laboratoire Bordelais de Recherche en Informatique - UMR 5800
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© 2001 Springer-Verlag Berlin Heidelberg
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Lachaud, JO., Vialard, A. (2001). Discrete Deformable Boundaries for the Segmentation of Multidimensional Images. In: Arcelli, C., Cordella, L.P., di Baja, G.S. (eds) Visual Form 2001. IWVF 2001. Lecture Notes in Computer Science, vol 2059. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45129-3_50
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DOI: https://doi.org/10.1007/3-540-45129-3_50
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