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Some equivalence relation between persistent homology and morphological dynamics

arXiv 2205.12546 ↗First posted 25 May 2022cs.CV eess.IV eess.SPcited by 0

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Abstract (arXiv)

In Mathematical Morphology (MM), connected filters based on dynamics are used to filter the extrema of an image. Similarly, persistence is a concept coming from Persistent Homology (PH) and Morse Theory (MT) that represents the stability of the extrema of a Morse function. Since these two concepts seem to be closely related, in this paper we examine their relationship, and we prove that they are equal on n-D Morse functions, n ≥ 1. More exactly, pairing a minimum with a 1-saddle by dynamics or pairing the same 1-saddle with a minimum by persistence leads exactly to the same pairing, assuming that the critical values of the studied Morse function are unique. This result is a step further to show how much topological data analysis and mathematical morphology are related, paving the way for a more in-depth study of the relations between these two research fields.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 4 of its 61 references that are in the map. First posted on arXiv 25 May 2022.

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References · 4

  1. 2018The Topology ToolKitcited by 39
  2. 2019Task-based Augmented Contour Trees with Fibonacci Heapscited by 15
  3. 2020Localized Topological Simplification of Scalar Datacited by 9
  4. 2017VOIDD: automatic vessel of intervention dynamic detection in PCI procedurescited by 1

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