Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
}
TY - GEN
T1 - Method for Finding Large Particles in an Image Using Neural Network
AU - Cherepanov, M. P.
PY - 2024
Y1 - 2024
N2 - The article deals with the problem of image segmentation. Most segmentation methods are not universal to work in different conditions. It is also difficult to find a suitable method to work in a specific environment. In this research, a method is proposed for determining large particles of a mixture in an image. The method is distinguished by its versatility and the ability to adapt to specific conditions. The method is based on the use of neural networks and a post-processing algorithm for a binary mask of image boundaries. The approaches described in the research can be applied in various industries, for example, to determine the granulometric composition of rocks.
AB - The article deals with the problem of image segmentation. Most segmentation methods are not universal to work in different conditions. It is also difficult to find a suitable method to work in a specific environment. In this research, a method is proposed for determining large particles of a mixture in an image. The method is distinguished by its versatility and the ability to adapt to specific conditions. The method is based on the use of neural networks and a post-processing algorithm for a binary mask of image boundaries. The approaches described in the research can be applied in various industries, for example, to determine the granulometric composition of rocks.
UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85196544382
U2 - 10.1063/5.0212300
DO - 10.1063/5.0212300
M3 - Conference contribution
SN - 978-073544954-1
VL - 3094
T3 - AIP Conference Proceedings
BT - AIP Conference Proceedings
PB - American Institute of Physics Inc.
T2 - International Conference of Numerical Analysis and Applied Mathematics 2022, ICNAAM 2022
Y2 - 19 September 2022 through 25 September 2022
ER -
ID: 58893655