In Proceedings of 14th IAPR International Conference on Discrete Geometry for Computer Imagery (DGCI'08), April 2008, Springer-Verlag
This paper presents the first segmentation operation defined within the 3D topological map framework. Firstly we show how a traditional segmentation algorithm, found in the literature, can be transposed on a 3D image represented by a topological map. We show the consistency of the results despite of the modifications made to the segmentation algorithm and we study the complexity of the operation. Lastly, we present some experimental results made on 3D medical images. These results show the process duration of our method and validate the interest to use 3D topological map in the context of image processing.
@inproceedings{DupDam08a,
author = {Dupas, A. and Damiand, G.},
title = {First Results for 3D Image Segmentation with Topological Map.},
booktitle = {Proceedings of 14th IAPR International Conference on Discrete Geometry for Computer Imagery (DGCI'08)},
series = {Lecture Notes in Computer Science},
volume = {4992},
pages = {507-518},
month = {April},
year = {2008},
editor = {Coeurjolly, D. and Sivignon, I. and Tougne, L. and Dupont, F.},
publisher = {Springer-Verlag},
address = {Lyon, France},
keywords = {Topological model, 3D Image Segmentation, Intervoxel boundaries, Combinatorial maps},
url = {http://dx.doi.org/10.1007/978-3-540-79126-3_45}
}