Abstract
In this paper we present a new implementation of a rainfalling watershed segmentation algorithm. Our previous algorithm was a one-run algorithm. All the steps needed to compute a complete watershed segmentation were done in one run over the input data. In our new algorithm we tried another approach. We separated the watershed algorithm in several low-complexity relabeling steps that can be performed sequentially on a label image. The new implementation is approximately two times faster for parameters that produce visually good segmentations. The new algorithm also handles plateaus in a better way. First we describe the general layout of a rainfalling watershed algorithm. Then we explain the implementations of the two algorithms. Finally we give a detailed report on the timings of the two algorithms for different parameters.
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© 2005 Springer-Verlag Berlin Heidelberg
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De Bock, J., De Smet, P., Philips, W. (2005). A Fast Sequential Rainfalling Watershed Segmentation Algorithm. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2005. Lecture Notes in Computer Science, vol 3708. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558484_60
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DOI: https://doi.org/10.1007/11558484_60
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29032-2
Online ISBN: 978-3-540-32046-3
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