Extraction of Connected Region Boundary in Multidimensional Images

David Coeurjolly 1 Bertrand Kerautret 2 Jacques-Olivier Lachaud 3
1 M2DisCo - Geometry Processing and Constrained Optimization
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
2 ADAGIO - Applying Discrete Algorithms to Genomics and Imagery
LORIA - ALGO - Department of Algorithms, Computation, Image and Geometry
Abstract : This paper presents an algorithm to extract the boundary of a connected region(s) using classical topology definitions. From a given adjacency definition, the proposed method is able to extract the boundary of an object in a generic way, independently of the dimension of the digital space. Source Code The implementation of the algorithm is available through the DGtal library 1 . The source code and the demonstration are based on a special version of DGTal containing no external dependencies. They are both available on the IPOL web page of this article 2 . Supplementary Material The DGtalTools 3 project gives several additional tools exploiting the proposed algorithms. These tools are defined to process both 2D and 3D images.
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David Coeurjolly, Bertrand Kerautret, Jacques-Olivier Lachaud. Extraction of Connected Region Boundary in Multidimensional Images. Image Processing On Line, IPOL - Image Processing on Line, 2014, 4, pp. 30-43. ⟨10.5201/ipol.2014.74⟩. ⟨hal-01112943⟩

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