Volumic Segmentation using Hierarchical Representation and Triangulated Surface
Abstract
This article presents a new algorithm for segmenting 3D images. It is based on a dynamic triangulated surface and on a pyramidal representation. The triangulated surface, which can as well modify its geometry as its topology, segments images into their components by altering its shape according to internal and external constraints. In order to speed up the whole process, the surface performs a coarse-to-fine approach by evolving in a specifically designed pyramid of 3D images.
Type
Publication
Proc. 4th European Conference on Computer Vision (ECCV'96), Cambridge, UK, volume 1064 of Lecture Notes in Computer Science, pp 137-146, 1996. Springer
3D Biomedical Imagery
Image Analysis
Image Segmentation
Shape Recovery
Deformable Model
Automated Topology Changes
Multiresolution
Snake
Deformable Surface
3D
Authors
Professor of Computer Science
My research interests include digital geometry, geometry processing, image analysis, variational models and discrete calculus.