We present a morphometric analysis technique, based on Minkowski functionals, to quantify the shape of structural deviations in greyscale images. It identifies important features in noisy spatial data, especially for short observation times and low statistics without assuming any prior knowledge about potential sources.
See my blog post for more information.
All simulated data and parameters underlying our study are available at Zenodo.
The density of states and my code for Minkowski maps are freely available at GitHub.
M. A. Klatt and K. Mecke. Detecting structured sources in noisy images via Minkowski maps. EPL (Europhysics Letters) 128:60001-p1–8 (2019)
Michael Andreas Klatt 