In Proceedings of 12th International Workshop on Combinatorial Image Analysis (IWCIA'08), April 2008, Springer
Topological maps are a model which represents image subdivisions in 2D or 3D. The aim of this structure is to provide an image representation which allows topological and geometrical information to be used by image processing operations. Algorithms of regions merging are useful tools in image segmentation and image processing. This paper presents two algorithms of regions merging in 3D topological maps and study their complexities. Some experimental results are presented to emphasis on the advantages and drawbacks of both approaches.
@inproceedings{DupDam08b,
author = {Dupas, A. and Damiand, G.},
title = {Comparison of Local and Global Region Merging in the Topological Map.},
booktitle = {Proceedings of 12th International Workshop on Combinatorial Image Analysis (IWCIA'08)},
series = {Lecture Notes in Computer Science},
volume = {4958},
pages = {420-431},
month = {April},
year = {2008},
editor = {V.E. Brimkov, R.P. Barneva, H.A. Hauptman},
publisher = {Springer},
address = {Buffalo, NY, USA},
keywords = {Combinatorial maps, Intervoxel boundaries, Region merging, Image segmentation},
url = {http://dx.doi.org/10.1007/978-3-540-78275-9_37}
}