Distance-Driven Skeletonization in Voxel Images

Autor: Gabriella Sanniti di Baja, C. Arcelli, Luca Serino

Publikováno v: IEEE transactions on pattern analysis and machine intelligence 33(4) (2011): 709–720. doi:10.1109/TPAMI.2010.140
info:cnr-pdr/source/autori:Carlo Arcelli, Gabriella Sanniti di Baja, Luca Serino/titolo:Distance driven skeletonization in voxel images/doi:10.1109%2FTPAMI.2010.140/rivista:IEEE transactions on pattern analysis and machine intelligence/anno:2011/pagina_da:709/pagina_a:720/intervallo_pagine:709–720/volume:33(4)

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 weighted distance transform, on the detection of anchor points, and on the application of topology p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16a5149b8e55c452d7a341a72c5404a2
https://doi.org/10.1109/tpami.2010.140

From the Zones of Influence of Skeleton Branch Points to Meaningful Object Parts

Autor: Luca Serino, C. Arcelli, G. Sanniti di Baja

Publikováno v: Discrete Geometry for Computer Imagery ISBN: 9783642370663
DGCI
DGCI 2013, edited by R. Gonzalez-Diaz, M.-J. Jimenez, B. Medrano, pp. 131–142. Berlin Heidelberg: Springer-Verlag, 2013
info:cnr-pdr/source/autori:Serino L., Arcelli C., Sanniti di Baja G./titolo:From the zones of influence of skeleton branch points to meaningful object parts/titolo_volume:DGCI 2013/curatori_volume:R. Gonzalez-Diaz, M.-J. Jimenez, B. Medrano/editore: /anno:2013

A 3D object decomposition method is presented, which is based on the decomposition of the linear skeleton guided by the zones of influence. These are the connected components of voxels obtained by applying the reverse distance transformation to the b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a654d2187a5312cd440f3570d8810931
https://doi.org/10.1007/978-3-642-37067-0_12

Linear representation of discrete surfaces in 3D

Autor: C. Arcelli, G.S. di Baja, Luca Serino

Publikováno v: International Conference on Pattern Recognition, Tampa, FL, 8-11 Dec. 2008
info:cnr-pdr/source/autori:Arcelli C.; Sanniti di Baja G; and Serino L./congresso_nome:International Conference on Pattern Recognition/congresso_luogo:Tampa, FL/congresso_data:8-11 Dec. 2008/anno:2008/pagina_da:/pagina_a:/intervallo_pagine
Scopus-Elsevier
ICPR

A method to compute a linear medial representation of a complex surface in the 3D discrete space is presented. The method involves voxel classification, surface labeling, anchor point detection, and voxel removal.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25d7d5b34848f749c681704c9b3cc769
https://publications.cnr.it/doc/78588

A new set of topology preserving removal operations in the 3D space

Autor: C. Arcelli, G.S. di Baja, Luca Serino

Publikováno v: pp. 1055–1058. Loa Alamitos [CA]: IEEE Computer Society Press, 2006
info:cnr-pdr/source/autori:C.Arcelli; G.Sanniti di Baja; L.Serino/titolo:A new set of topology preserving removal operations in the 3D space/titolo_volume:/curatori_volume:/editore: /anno:2006
ICPR (3)

A new set of 3times3times3 topology preserving removal operations is introduced to compute the surface skeleton of a 3D object. We show that this set of operations can be appropriately employed in a parallel process, without creating disconnections,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccf372b059ec3630fb7d38409fd53129
http://www.cnr.it/prodotto/i/134072

Using grey-level and distance information for medial surface representation of volume images

Autor: G. Sanniti di Baja, Stina Svensson, Ingela Nyström, C. Arcelli

Publikováno v: ICPR (2)
Scopus-Elsevier

A medial surface representation of a grey-level volume image is computed. The foreground is reduced to a subset topologically equivalent to the initial foreground and mainly consisting of surfaces centred within regions having locally higher intensit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::275901890270d5c2ee46e261f0320411
https://doi.org/10.1109/icpr.2002.1048305