Talks and Poster Presentations (with Proceedings-Entry):
F. Torres Garcia, R. Marfill, A. Bandera:
"3D Image Segmentation Using the Bounded Irregular Pyramid";
Poster: CAIP 2009 The 13th International Conference on Computer Analysis of Images and Patterns,
- 2009-09-04; in: "Pattern Recognition The Journal of the Pattern Recognition Society",
This paper presents a novel pyramid approach for fast segmentation
of 3D images. A pyramid is a hierarchy of successively reduced
graphs whose efficiency is strongly influenced by the data structure that
codes the information within the pyramid and the decimation process
used to build a graph from the graph below. Depending on these two
features, pyramids have been classified as regular and irregular ones.
The proposed approach extends the idea of the Bounded Irregular Pyramid
(BIP)  to 3D images. Thus, the 3D-BIP is a mixture of both types
of pyramids whose goal is to combine their advantages: the low computational
cost of regular pyramids with the consistent and useful results
provided by the irregular ones. Specifically, its data structure combines a
regular decimation process with an union-find strategy to build the successive
3D levels of the structure. Experimental results show that this
approach is able to provide a low-level segmentation of 3D images at a
low computational cost.
Created from the Publication Database of the Vienna University of Technology.