Hierarchical cell structures for segmentation of voxel images

Authors:
Lutz Priese;Patrick Sturm;Haojun Wang
Affiliations:
Institute for Computational Visualistics, University Koblenz-Landau, Koblenz, Germany;Institute for Computational Visualistics, University Koblenz-Landau, Koblenz, Germany;Institute for Computational Visualistics, University Koblenz-Landau, Koblenz, Germany
Venue:
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Year:
2005

Citing 3
Cited 0

A new class of edge-preserving smoothing filters

Pattern Recognition Letters
A Fast Hybrid Color Segmentation Method

Mustererkennung 1993, Mustererkennung im Dienste der Gesundheit, 15. DAGM-Symposium
3D-color-structure-code: a hierarchical region growing method for segmentation of 3D-images

SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis

Quantified Score

Hi-index	0.00

Visualization

Abstract

We compare three hierarchical structures, S15, C15, C19, that are used to steer a segmentation process in 3d voxel images. There is an important topological difference between C19 and both others that we will study. A quantitative evaluation of the quality of the three segmentation techniques based on several hundred experiments is presented.