SAMPLE CHARACTERIZATION METHOD USING NEURON NETWORKS

摘要

The present invention relates to a method of characterizing a sample, using a set of spectral images of the sample to be characterized previously acquired, in particular by infrared thermography or spectral imaging, and at least one neural network, the method comprising the steps comprising: - generating at least one volume of values of an observed parameter from said spectral images, for a plurality of pixel coordinates of the images and a plurality of acquisitions, - extracting at least one input data set from from said data volume, these input data corresponding to the values of the observed parameter, for a pixel of the same coordinates according to different acquisitions, values to which at least one transformation function has been applied, - to drive said at least one neural network into using the input data to extract at least one characteristic from the sample terize.