The Persistent Homology of Dual Digital Image Constructions

Title
The Persistent Homology of Dual Digital Image Constructions
Publication Date
2022
Author(s)
Bleile, Bea
( author )
OrcID: https://orcid.org/0000-0003-2254-6832
Email: bbleile@une.edu.au
UNE Id une-id:bbleile
Garin, Adélie
Heiss, Teresa
Maggs, Kelly
Robins, Vanessa
Editor
Editor(s): Ellen Gasparovic, Vanessa Robins and Katharine Turner
Type of document
Book Chapter
Language
en
Entity Type
Publication
Publisher
Springer
Place of publication
Cham, Switzerland
Edition
1
Series
Association for Women in Mathematics Series
DOI
10.1007/978-3-030-95519-9_1
UNE publication id
une:1959.11/53893
Abstract
To compute the persistent homology of a grayscale digital image one needs to build a simplicial or cubical complex from it. For cubical complexes, the two commonly used constructions (corresponding to direct and indirect digital adjacencies) can give different results for the same image. The two constructions are almost dual to each other, and we use this relationship to extend and modify the cubical complexes to become dual filtered cell complexes. We derive a general relationship between the persistent homology of two dual filtered cell complexes, and also establish how various modifications to a filtered complex change the persistence diagram. Applying these results to images, we derive a method to transform the persistence diagram computed using one type of cubical complex into a persistence diagram for the other construction. This means software for computing persistent homology from images can now be easily adapted to produce results for either of the two cubical complex constructions without additional low-level code implementation.
Link
Citation
Research in Computational Topology 2, p. 1-21
ISBN
9783030955182
Start page
1
End page
21

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