Combining Topological Maps, Multi-Label Simple Points, and Minimum-Length Polygons for Efficient Digital Partition Model - Archive ouverte HAL Access content directly
Conference Papers Year : 2011

Combining Topological Maps, Multi-Label Simple Points, and Minimum-Length Polygons for Efficient Digital Partition Model

Alexandre Dupas
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Jacques-Olivier Lachaud
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Abstract

Deformable models have shown great potential for image segmentation. They include discrete models whose combinatorial formulation leads to efficient and sometimes optimal minimization algorithms. In this paper, we propose a new discrete framework to deform any partition while preserving its topology. We show how to combine the use of multi-label simple points, topological maps and minimum-length polygons in order to implement an efficient digital deformable partition model. Our experimental results illustrate the potential of our framework for segmenting images, since it allows the mixing of region-based, contour-based and regularization energies, while keeping the overall image structure.
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Dates and versions

hal-00597507 , version 1 (01-06-2011)

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Guillaume Damiand, Alexandre Dupas, Jacques-Olivier Lachaud. Combining Topological Maps, Multi-Label Simple Points, and Minimum-Length Polygons for Efficient Digital Partition Model. International Workshop on Combinatorial Image Analysis, May 2011, Madrid, Spain. pp.56-69, ⟨10.1007/978-3-642-21073-0_8⟩. ⟨hal-00597507⟩
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