Abstract
There exist a lot of algorithms for 2D contour reconstruction from sampling points which guarantee a correct result if certain sampling criteria are fulfilled. Nevertheless nearly none of these algorithms can deal with non-manifold boundaries of multiple regions. We discuss, which problems occur in this case and present a boundary reconstruction algorithm, which can deal with partitions of multiple regions, and non-smooth boundaries (e.g. corners or edges). In comparison to well-known contour reconstruction algorithms, our method requires a lower sampling density and the sampling points can be noisy.
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Stelldinger, P., Tcherniavski, L. (2009). Contour Reconstruction for Multiple 2D Regions Based on Adaptive Boundary Samples. In: Wiederhold, P., Barneva, R.P. (eds) Combinatorial Image Analysis. IWCIA 2009. Lecture Notes in Computer Science, vol 5852. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10210-3_21
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DOI: https://doi.org/10.1007/978-3-642-10210-3_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10208-0
Online ISBN: 978-3-642-10210-3
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