Abstract
In this paper, we show how to use the three dimensional topological map in order to compute efficiently topological features on objects contained in a 3D image. These features are useful for example in image processing to control operations or in computer vision to characterize objects. Topological map is a combinatorial model which represents both topological and geometrical information of a three dimensional labeled image. This model can be computed incrementally by using only two basic operations: the removal and the fictive edge shifting. In this work, we show that Euler characteristic can be computed incrementally during the topological map construction. This involves an efficient algorithm and open interesting perspectives for other features.
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Damiand, G., Peltier, S., Fuchs, L., Lienhardt, P. (2006). Topological Map: An Efficient Tool to Compute Incrementally Topological Features on 3D Images. In: Reulke, R., Eckardt, U., Flach, B., Knauer, U., Polthier, K. (eds) Combinatorial Image Analysis. IWCIA 2006. Lecture Notes in Computer Science, vol 4040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11774938_1
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DOI: https://doi.org/10.1007/11774938_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35153-5
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