Detail publikace

Determination of Air Jet Shape with Complex Methods Using Neural Networks

ŠŤASTNÝ, J. RICHTER, J. JURÁNEK, L.

Originální název

Determination of Air Jet Shape with Complex Methods Using Neural Networks

Typ

kapitola v knize

Jazyk

angličtina

Originální abstrakt

This article deals with the computer evaluation of airflow images. The airflow is visualized by continuous gas fibers, as for example smoke, fog or another visible additive. One of the most important properties of airflow is the shape of the stream. The principle of determining the shape of the stream is the detection of the additive. For 2D images with a heterogeneous background, it may be very difficult to distinguish the additive from the environment. This paper deals with the possibility of detecting an additive in airflow images with a heterogeneous back-ground. Artificial neural networks will be used for this purpose.

Klíčová slova

Additive detection; Air jet shape; Airflow; Artificial neural networks; Image processing

Autoři

ŠŤASTNÝ, J.; RICHTER, J.; JURÁNEK, L.

Vydáno

1. 3. 2021

Nakladatel

Springer Nature Switzerland

ISBN

978-3-030-61658-8

Kniha

Studies in Fuzziness and Soft Computing

Strany od

25

Strany do

40

Strany počet

16

URL

https://link.springer.com/chapter/10.1007/978-3-030-61659-5_3

BibTex

@inbook{BUT171189,
  author="Jiří {Šťastný} and Jan {Richter} and Luboš {Juránek}",
  title="Determination of Air Jet Shape with Complex Methods Using Neural Networks",
  booktitle="Studies in Fuzziness and Soft Computing",
  year="2021",
  publisher="Springer Nature Switzerland",
  pages="25--40",
  doi="10.1007/978-3-030-61659-5\{_}3",
  isbn="978-3-030-61658-8",
  url="https://link.springer.com/chapter/10.1007/978-3-030-61659-5_3"
}