Dresden 2020 – scientific programme
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MM: Fachverband Metall- und Materialphysik
MM 13: Microstructure and Phase Transformations - Processing and Imaging
MM 13.3: Talk
Monday, March 16, 2020, 16:15–16:30, IFW B
Random walks on images - statistical analysis and Hurst component calculation — •Tomasz Blachowicz1, Fjora Mance2, David Fetter3, Alexander Friesen3, Axel Dreyer4, Artur Kasza1, and Andrea Ehrmann3 — 1Silesian University of Technology, Institute of Physics - Center for Science and Education, 44-100 Gliwice, Poland — 2Polytechnic University of Tirana, Faculty of Mechanical Engineering, Tirana, Albania — 3Bielefeld University of Applied Sciences, Faculty of Engineering and Mathematics, 33619 Bielefeld, Germany — 4Bielefeld University, Department of Physics, 33615 Bielefeld, Germany
Pictures of diverse structures can be investigated by image processing, followed by mathematical methods, to derive geometrical or other properties of these objects. Especially irregular samples, such as fibrous materials [1], can be examined by a random-walk algorithm, enabling calculation of the so-called Hurst exponent [2].
Here we show the analysis of drying processes of different polymer pre-cursors on varying surface by grey-channel dependent Hurst exponent calculations, performed on microscopic images of the drying traces. Our results allow for quantifying the differences between drying marks of diverse fluids and thus classifying various crystallization processes.
[1] T. Blachowicz, A. Ehrmann, K. Domino, Physica A: Statistical Mechanics and its Applications 452, 167-177 (2016)
[2] A. Ehrmann, T. Blachowicz, K. Domino, S. Aumann, M. O. Weber, H. Zghidi, Textile Research Journal 85, 2147-2154 (2015)