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Link to original content: https://doi.org/10.1007/978-3-031-19897-7_19
Component-Tree Simplification Through Fast Alpha Cuts | SpringerLink
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Component-Tree Simplification Through Fast Alpha Cuts

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Discrete Geometry and Mathematical Morphology (DGMM 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13493))

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Abstract

Tree-based hierarchical image representations are commonly used in connected morphological image filtering, segmentation and multi-scale analysis. In the case of component trees, filtering is generally based on thresholding single attributes computed for all the nodes in the tree. Alternatively, so-called shapings are used, which rely on building a component tree of a component tree to filter the image. Neither method is practical when using vector attributes. In this case, more complicated machine learning methods are required, including clustering methods. In this paper I present a simple, fast hierarchical clustering algorithm based on cuts of \(\alpha \)-trees to simplify and filter component trees.

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Authors and Affiliations

  1. Bernoulli Institute for Mathematics, Computer Science, and Artifical Intelligence, University of Groningen, P.O. Box 407, 9700 AK, Groningen, The Netherlands

    Michael H. F. Wilkinson

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  1. Michael H. F. Wilkinson
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Correspondence to Michael H. F. Wilkinson .

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Editors and Affiliations

  1. University of Strasbourg, Strasbourg, France

    Étienne Baudrier

  2. University of Strasbourg, Strasbourg, France

    Benoît Naegel

  3. University of Strasbourg, Strasbourg, France

    Adrien Krähenbühl

  4. University of Strasbourg, Strasbourg, France

    Mohamed Tajine

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Wilkinson, M.H.F. (2022). Component-Tree Simplification Through Fast Alpha Cuts. In: Baudrier, É., Naegel, B., Krähenbühl, A., Tajine, M. (eds) Discrete Geometry and Mathematical Morphology. DGMM 2022. Lecture Notes in Computer Science, vol 13493. Springer, Cham. https://doi.org/10.1007/978-3-031-19897-7_19

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  • DOI: https://doi.org/10.1007/978-3-031-19897-7_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-19896-0

  • Online ISBN: 978-3-031-19897-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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