Publication detail

Tank Barrel Surface Damage Detection Algorithm

DYK, T. DRAHANSKÝ, M.

Original Title

Tank Barrel Surface Damage Detection Algorithm

Type

conference paper

Language

English

Original Abstract

The article proposes a new algorithm for detecting damaged areas of the tank barrel based on image of the inner surface of the tank barrel. Damage position is calculated using image processing techniques such as edge detection, discrete wavelet transformation and image segmentation for accurate contour detection. The algorithm can detect surface damage in smoothbore and even in rifled tank barrel. The algorithm also calculates volume of the detected damage from the depth map generated for example from the distance measurement unit. The proposed method was tested on data obtained by tank barrel bore explorer, which generate both surface image data and depth map. The Barrel bore explorer device is also discussed in the article.

Keywords

Barrel, Barrel Diagnostic, Image Processing, Surface Damage Detection, Tank

Authors

DYK, T.; DRAHANSKÝ, M.

Released

26. 5. 2023

Publisher

IEEE Computer Society

Location

Brno

ISBN

979-8-3503-2568-3

Book

ICMT 2023: 17. International Conference on Military Technology

Pages from

1

Pages to

4

Pages count

4

BibTex

@inproceedings{BUT185166,
  author="Tomáš {Dyk} and Martin {Drahanský}",
  title="Tank Barrel Surface Damage Detection Algorithm",
  booktitle="ICMT 2023: 17. International Conference on Military Technology",
  year="2023",
  pages="1--4",
  publisher="IEEE Computer Society",
  address="Brno",
  doi="10.1109/ICMT58149.2023.10171286",
  isbn="979-8-3503-2568-3"
}