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 -