Application of Particle Detection Methods to Solve Particle Overlapping Problems

Wissam AlKendi, Paresh Mahapatra, Bassam Alkindy, Christophe Guyeux, Magali Barthès

2023

Abstract

The study of fluid flows concerns many fields (e.g., biology, aeronautics, chemistry). To overcome the problems of flow disturbances caused by intrusive physical sensors, different methods of flow quantification, based on optical visualization, are particularly interesting. Among them, PTV (Particle Tracking Velocimetry) which allows the individualized tracking of tracers/particles, is of growing interest. Different numerical treatments will enable us to identify and track the particles. However, detection algorithms (e.g., Sobel, Canny, Robert, Gaussian, morphology) can be sensitive to noise and the phenomenon of overlapping particles in flow. In this work, we have focused on the detection part with the objective of improving it as much as possible. To quantify the performance of the different methods tested, synthetic images, with well-defined parameters have been generated. We compared the performances of the Laplacian of Gaussian (LoG) and the Difference of Gaussian (DoG) methods, with the traditional method of threshold binarization. In addition, we tested other techniques based on non-local means (NLM) and overlapping detector to improve the detection of particles in case of noisy images or overlapping particles. The results show that the LoG gives very good results in most cases, with additional improvement when using the NLM and the overlap detector.

Paper Citation

in Harvard Style

AlKendi W., Mahapatra P., Alkindy B., Guyeux C. and Barthès M. (2023). Application of Particle Detection Methods to Solve Particle Overlapping Problems. In Proceedings of the 3rd International Conference on Image Processing and Vision Engineering - Volume 1: IMPROVE, ISBN 978-989-758-642-2, SciTePress, pages 84-91. DOI: 10.5220/0011852500003497

in Bibtex Style

@conference{improve23,
author={Wissam AlKendi and Paresh Mahapatra and Bassam Alkindy and Christophe Guyeux and Magali Barthès},
title={Application of Particle Detection Methods to Solve Particle Overlapping Problems},
booktitle={Proceedings of the 3rd International Conference on Image Processing and Vision Engineering - Volume 1: IMPROVE,},
year={2023},
pages={84-91},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011852500003497},
isbn={978-989-758-642-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Image Processing and Vision Engineering - Volume 1: IMPROVE,
TI - Application of Particle Detection Methods to Solve Particle Overlapping Problems
SN - 978-989-758-642-2
AU - AlKendi W.
AU - Mahapatra P.
AU - Alkindy B.
AU - Guyeux C.
AU - Barthès M.
PY - 2023
SP - 84
EP - 91
DO - 10.5220/0011852500003497
PB - SciTePress