Publication Details
Tank Barrel Surface Damage Detection Algorithm
Drahanský Martin, prof. Ing., Ph.D.
Barrel, Barrel Diagnostic, Image Processing, Surface Damage Detection, Tank
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.
@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"
}