Elsevier

Computers & Graphics

Volume 98, August 2021, Pages 231-241
Computers & Graphics

Special Section on MoIVA 2021
Topological analysis of density fields: An evaluation of segmentation methods

https://doi.org/10.1016/j.cag.2021.05.015Get rights and content
Under a Creative Commons license
open access

Abstract

Topological and geometric segmentation methods provide powerful concepts for detailed field analysis and visualization. However, when it comes to a quantitative analysis that requires highly accurate geometric segmentation, there is a large discrepancy between the promising theory and the available computational approaches. In this paper, we compare and evaluate various segmentation methods with the aim to identify and quantify the extent of these discrepancies. Thereby, we focus on an application from quantum chemistry: the analysis of electron density fields. It is a scalar quantity that can be experimentally measured or theoretically computed. In the evaluation we consider methods originating from the domain of quantum chemistry and computational topology. We apply the methods to the charge density of a set of crystals and molecules. Therefore, we segment the volumes into atomic regions and derive and compare quantitative measures such as total charge and dipole moments from these regions. As a result, we conclude that an accurate geometry determination can be crucial for correctly segmenting and analyzing a scalar field, here demonstrated on the electron density field.

Keywords

Topological data analysis
Scalar fields
Morse–Smale complex
Voronoi diagram
Numerical methods
Visualization

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