Use of Coloured Tracers in Gas Flow Experiments for a Lagrangian Flow Analysis with Increased Tracer Density

Bendicks, Christian; Tarlet, Dominique; Michaelis, Bernd; Thévenin, Dominique; Wunderlich, Bernd

doi:10.1007/978-3-642-03798-6_40

Cited by 2 publications

(2 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…ANNs are robust and able to learn and adapt according to training data associated with a given context. Other adequate classifyers like Support Vector Machines have been tested as well [13] but could not beat ANNs for the present appli-cation. The proposed network design is a fully connected back-propagation network illustrated in Figure 6.…”

Section: Color Classification By An Artificial Neural Network (Ann)mentioning

confidence: 99%

“…For the investigation of larger particles (Ø ≈ 70 µm), successful application of ANNs has been reported in [1]. The use of other classifyers like Support Vector Machines (SVM) is also possible and has been investigated by Bendicks et al [13]. Here, ANNs have been retained because of the considerable experience of our group with this technique and of the huge amount of collected data for training and tests [14].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Improved 3-D Particle Tracking Velocimetry with Colored Particles

Bendicks¹,

Tarlet²,

Roloff

et al. 2011

JSIP

Self Cite

View full text Add to dashboard Cite

The present work introduces an extension to three-dimensional Particle Tracking Velocimetry (3-D PTV) in order to investigate small-scale flow patterns. Instead of using monochrome particles the novelty over the prior state of the art is the use of differently dyed tracer particles and the identification of particle color classes directly on Bayer raw images. Especially in the case of a three camera setup it will be shown that the number of ambiguities is dramatically decreased when searching for homologous points in different images. This refers particularly to the determination of spatial particle positions and possibly to the linking of positions into trajectories. The approach allows the handling of tracer particles in high numbers and is therefore perfectly suited for gas flow investigations. Although the idea is simple, difficultties may arise particularly in determining the color class of individual particle when its projection on a

show abstract

Section: Color Classification By An Artificial Neural Network (Ann)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improved 3-D Particle Tracking Velocimetry with Colored Particles

Bendicks¹,

Tarlet²,

Roloff

et al. 2011

JSIP

Self Cite

View full text Add to dashboard Cite

show abstract

A real-time detection and positioning method for small and weak targets using a 1D morphology-based approach in 2D images

2018

View full text Add to dashboard Cite

A small and weak target detection method is proposed in this work that outperforms all other methods in terms of real-time capability. It is the first time that two-dimensional (2D) images are processed using only one-dimensional1D structuring elements in a morphology-based approach, enabling the real-time hardware implementation of the whole image processing method. A parallel image readout and processing structure is introduced to achieve an ultra-low latency time on the order of nanoseconds, and a hyper-frame resolution in the time domain can be achieved by combining the row-by-row structure and the electrical rolling shutter technique. Experimental results suggest that the expected target can be successfully detected under various interferences with an accuracy of 0.1 pixels (1σ) under the worst sky night test condition and that a centroiding precision of better than 0.03 pixels (1σ) can be reached for static tests. The real-time detection method with high robustness and accuracy is attractive for application to all types of real-time small target detection systems, such as medical imaging, infrared surveillance, and target measurement and tracking, where an ultra-high processing speed is required.

show abstract

Use of Coloured Tracers in Gas Flow Experiments for a Lagrangian Flow Analysis with Increased Tracer Density

Cited by 2 publications

References 6 publications

Improved 3-D Particle Tracking Velocimetry with Colored Particles

Improved 3-D Particle Tracking Velocimetry with Colored Particles

A real-time detection and positioning method for small and weak targets using a 1D morphology-based approach in 2D images

Contact Info

Product

Resources

About