papaya2: 2D Irreducible Minkowski Tensor computation

TL;DR

Papaya2 is an open-source software tool that computes 2D Minkowski Tensors, enabling detailed shape analysis beyond traditional metrics, with applications in scientific imaging and data analysis.

Contribution

It introduces a software implementation for calculating 2D Irreducible Minkowski Tensors, supporting multiple programming interfaces and extending shape analysis capabilities.

Findings

Provides a systematic way to quantify anisotropic shapes.

Supports multiple programming languages including Matlab, JavaScript, and Python.

Fills a gap in open-source tools for higher-rank 2D shape characterization.

Abstract

A common challenge in scientific and technical domains is the quantitative description of geometries and shapes, e.g. in the analysis of microscope imagery or astronomical observation data. Frequently, it is desirable to go beyond scalar shape metrics such as porosity and surface to volume ratios because the samples are anisotropic or because direction-dependent quantities such as conductances or elasticity are of interest. Minkowski Tensors are a systematic family of versatile and robust higher-order shape descriptors that allow for shape characterization of arbitrary order and promise a path to systematic structure-function relationships for direction-dependent properties. Papaya2 is a software to calculate 2D higher-order shape metrics with a library interface, support for Irreducible Minkowski Tensors and interpolated marching squares. Extensions to Matlab, JavaScript and Python are provided as well. While the tensor of inertia is computed by many tools, we are not aware of other open-source software which provides higher-rank shape characterization in 2D.