MICROPARTICLE DETECTION ON RECOVERED HOLOGRAPHIC IMAGES OF A VOLUME MEDIUM USING NEURAL NETWORKS
N.A. Kuzmin1,2, Yu.D. Arapov1
1N. L. Dukhov All-Russian Research Institute of Automation, Moscow, Russia
2National Research Nuclear University "MEPhI", Moscow, Russia
Keywords: structural materials, microparticles, holography, detection, classification, automation, neural network, database, segmentation, U-net
Abstract
Results of the study usingtwo neural networks to solve the problem of detection and classification of microparticles in images obtained by restoring model and experimental holograms of aerosol media with a particle density of 180000 cm-3 are reported. The first neural network is trained on a database of manually labeled particle images, while the second neural network is trained on a database based on algorithms for automatically distributing certain parts of images into classes. The results of operation of two neural networks are compared, ways of their further improvement are presented.
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