Repairing 3D Binary Images Using the FCC Grid

A 3D image I is well-composed if it does not contain critical edges or vertices (where the boundary of I is non-manifold). The process of transforming an image into a well composed one is called repairing. We propose to repair 3D images by associating the face-centered cubic grid (FCC grid) with the...

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Veröffentlicht in:Journal of mathematical imaging and vision 2019-11, Vol.61 (9), p.1301-1321
Hauptverfasser: Čomić, Lidija, Magillo, Paola
Format: Artikel
Sprache:eng
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Zusammenfassung:A 3D image I is well-composed if it does not contain critical edges or vertices (where the boundary of I is non-manifold). The process of transforming an image into a well composed one is called repairing. We propose to repair 3D images by associating the face-centered cubic grid (FCC grid) with the cubic grid. We show that the polyhedral complex in the FCC grid, obtained by our repairing algorithm, is well-composed and homotopy equivalent to the complex naturally associated with the given image I with edge-adjacency (18-adjacency). We illustrate an application on two tasks related to the repaired image: boundary reconstruction and computation of its Euler characteristic.
ISSN:0924-9907
1573-7683
DOI:10.1007/s10851-019-00904-0