Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze
  1. Pubblicazioni

Distance driven skeletonization in voxel images

Articolo
Data di Pubblicazione:
2011
Abstract:
A distance-driven method to compute the surface and curve skeletons of 3D objects in voxel images is described. The method is based on the use of the <3,4,5> weighted distance transform, on the detection of anchor points, and on the application of topology preserving removal operations. The obtained surface and curve skeletons are centered within the object, have the same topology as the object, and have unit thickness. The object can be almost completely recovered from the surface skeleton since this includes almost all of the centers of maximal balls of the object. Hence, the surface skeleton is a faithful representation. In turn, though only partial recovery is possible from the curve skeleton, this still provides an appealing representation of the object.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Voxel image; surface skeleton; curve skeleton; distance transform; symmetry point; topology preservation
Elenco autori:
Arcelli, Carlo; Serino, Luca; SANNITI DI BAJA, Gabriella
Autori di Ateneo:
SERINO LUCA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/124013
Pubblicato in:
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
Journal
  • Dati Generali

Dati Generali

URL

http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5551146&tag=1
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)