The Minkowski tensor algorithms implemented in the morphometer are described in the following publications:
[bibtex key=schroder-turk2013minkowski,schroder-turk2011minkowski]Statistical physics and condensed matter:
[bibtex key=evans2017geometric,klatt2016morphometry,schaller2015non-universal,scholz2015direct,klatt2014characterization,evans2013networklike,kapfer2011morphometry,schroder-turk2010disordered,kapfer2010local,mecke2000statistical,mecke1991euler]
Mathematical models of physical systems:
[bibtex key=klatt2017cell,klatt2017anisotropy,hug2016second-order,horrmann2014minkowski]
Nuclear physics:
[bibtex key=schuetrumpf2015appearance,schuetrumpf2013time-dependent,sonoda2008phase,watanabe2004phases,watanabe2003structure]
Astronomy and cosmology:
[bibtex key=goring2013morphometric,kerscher2001morphological,kerscher2001non-gaussian]
Biology and medicine:
[bibtex key=wilts2017butterfly,klatt2017mean,barbosa2014integral-geometry,beisbart2006extended]
Pattern analysis:
[bibtex key=scholz2015pattern-fluid,mantz2008utilizing,becker2003complex,mecke1996morphological]
Statistics and stereology:
[bibtex key=ebner2017goodness-of-fit,kousholt2015surface,baddeley2004stereology]
Integral geometry:
[bibtex key=hug2018kinematic,hug2018crofton,bernig2017integral,hug2017tensor,hug2017integral,hug2014local]
Digital image analysis:
[bibtex key=hug2017voronoi]