313 citations · 1.6k across the 41 of their papers we have counts for
44 papers
Characterization of Anisotropic Gaussian Random Fields by Minkowski Tensors
Michael Andreas Klatt, Max Hörmann, Klaus Mecke
Gaussian random fields are among the most important models of amorphous spatial structures and appear across length scales in a variety of physical, biological, and geological appl…
Detecting structured sources in noisy images via Minkowski maps
Michael Andreas Klatt, Klaus Mecke
Astronomy, biophysics, and material science often depend on the possibility to extract information out of faint spatial signals. Here we present a morphometric analysis technique t…
Tracking down the origin of superbubbles and supergiant shells in the Magellanic Clouds with Minkowski tensor analysis
Caroline Collischon, Manami Sasaki, Klaus Mecke +2
We develop an automatic bubble-recognition routine based on Minkowski functionals (MF) and tensors (MT) to detect bubble-like interstellar structures in optical emission line image…
Morphometric analysis in gamma-ray astronomy using Minkowski functionals: III. Sensitivity increase via a refined structure quantification
Michael A. Klatt, Klaus Mecke
We pursue a novel morphometric analysis to detect sources in very-high-energy gamma-ray counts maps by structural deviations from the background noise without assuming any prior kn…
Morphometric analysis in gamma-ray astronomy using Minkowski functionals: II. Joint structure quantification
Michael A. Klatt, Klaus Mecke
We pursue a novel morphometric analysis to detect sources in very-high-energy gamma-ray counts maps by structural deviations from the background noise. Because the Minkowski functi…
Goodness-of-fit tests for complete spatial randomness based on Minkowski functionals of binary images
Bruno Ebner, Norbert Henze, Michael A. Klatt +1
We propose a class of goodness-of-fit tests for complete spatial randomness (CSR). In contrast to standard tests, our procedure utilizes a transformation of the data to a binary im…