Identification of images of objects obtained in low light conditions using neural network technologies

Abstract

The possibilities of artificial intelligence methods, in particular multilayer neural networks, are being studied for object recognition in X-ray images obtained at low photon fluxes. The achieved accuracy level (81–90 %) allows such approaches to be considered promising for further integration into intelligent data processing systems for medical and industrial radiography.