Shape Analysis of Volume Models by Euclidean Distance Transform and Moment Invariants

Author

Xu, Dong ; Li, Hua

fYear

2007

fDate

15-18 Oct. 2007

Firstpage

437

Lastpage

440

Abstract

In this paper, volume models are obtained from closed surface models by an accurate voxelization method which can handle the hidden cavities. This kind of 3D binary images is then converted to gray-level images by a fast Euclidean distance transform (EDT). Moment invariants (Mis) which are invariant shape descriptors under similarity transformations, are then computed based on the gray images. Applications in shape analysis area such as principal axis determination, skeleton and medial axis extraction, and shape retrieval can be carried out base on EDT and Mis.

Keywords

feature extraction; image retrieval; 3D binary images; Euclidean distance transform; closed surface models; gray-level images; invariant shape descriptors; medial axis extraction; moment invariants; principal axis determination; shape analysis; shape retrieval; similarity transformations; volume models; voxelization method; Clouds; Computed tomography; Data mining; Euclidean distance; Image converters; Iterative closest point algorithm; Laboratories; Principal component analysis; Shape; Skeleton;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Aided Design and Computer Graphics, 2007 10th IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-1579-3

Electronic_ISBN

978-1-4244-1579-3

Type

conf

DOI

10.1109/CADCG.2007.4407924

Filename

4407924