Ronny Hänsch, Johannes Kamp, Gregor Kendzierski

Technische Universität Berlin, Germany

Teaser image


This work implements a pipeline to detect and tracks drops in high-speed image sequences of a test cell developed at the Chair of Chemical and Process Engineering of Technische Universität Berlin. The fundamental analysis of drop coalescence probability in liquid/liquid systems is necessary to reliably predict drops size distributions in technical applications. For this fundamental investigation two colliding oil drops in continuous water phase were recorded with different high speed camera set-ups under varying conditions. DropTrack is automated image analysis tool developed in cooperation with the Computer Vision and Remote Sensing laboratory of Technische Universität Berlin to analyse the huge amount of recorded image sequences with varying resolutions and qualities. It is able to determine the trajectories of two colliding drops as well as the important events of drop detachment from cannulas and their collision. With this information the drop velocity in each sequence is calculated and mean values of multiple drop collisions are determined for serial examinations of single drop collisions.


DropTrack provides a complete pipeline from data management, image preprocessing, drop detection and tracking, event detection, to parameter estimation (e.g. velocity).

Check README.md for an overview.
The framework was tested using Ubuntu 14.04 64-Bit and Windows with:
- Matlab 2014
- Matlab Image Processing Toolbox

Code and demo
Latest code on github
Additional image sequence (as shown in the paper)


If you use DropTrack for your research please cite:

J. Kamp, R. Hänsch, G. Kendzierski, M. Kraume, O. Hellwich, Automated image analysis for trajectory determination of single drop collisions

@ARTICLE{ Kamp:2015,
  author = {Johannes Kamp and Ronny Hänsch and Gregor Kendzierski and Matthias Kraume and Olaf Hellwich},
  title  = {Automated image analysis for trajectory determination of single drop collisions},
  journal= {Computers \& Chemical Engineering},
  volume = {89},
  pages  = {184--191},
  year   = {2016},
  issn   = {0098-1354},
  doi    = {http://dx.doi.org/10.1016/j.compchemeng.2016.03.033},
  url    = {http://www.sciencedirect.com/science/article/pii/S0098135416300953}


DropTrack (c) 2015, Johannes Kamp, Ronny Hänsch, Gregor Kendzierski and contributors.

DropTrack is free software: you can redistribute it and/or modify it under the terms of the BSD 2-clause License.

DropTrack is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the license file provided with the code for the license terms and more details.