The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 28, 2023

Filed:

Nov. 30, 2018
Applicants:

Universite DE Reims Champagne Ardenne, Reims, FR;

Critt-mdts, Charleville-Mézières, FR;

Inventors:

Valeriu Vrabie, Reims, FR;

Eric Perrin, Val de Vesle, FR;

Sihem Mezghani, Châlons-en-Champagne, FR;

Assignees:

UNIVERSITE DE REIMS CHAMPAGNE ARDENNE, Reims, FR;

CRITT-MDTS, Charleville-Mézières, FR;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G01J 3/28 (2006.01); G06N 3/08 (2023.01); G06T 7/00 (2017.01); G06N 3/045 (2023.01); G06N 3/048 (2023.01); G01N 21/88 (2006.01);
U.S. Cl.
CPC ...
G01J 3/2823 (2013.01); G06N 3/045 (2023.01); G06N 3/048 (2023.01); G06N 3/08 (2013.01); G06T 7/0004 (2013.01); G01J 2003/2826 (2013.01); G01N 2021/8883 (2013.01); G01N 2021/8887 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/10036 (2013.01); G06T 2207/10048 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30188 (2013.01);
Abstract

A method for characterizing a sample using spectral images of the sample. At least one volume of values of an observed parameter is generated from the images for a plurality of coordinates of the pixels of the images and a plurality of acquisitions. At least one set of input data from the volume is extracted, with the input data corresponding to the values of the parameter, for a pixel of given coordinates in various acquisitions, to which values at least one conversion function has been applied. The at least one neural network is trained using the input data in order to extract therefrom at least one feature of the sample to be characterized. The at least one feature extracted by the neural network is used to perform a classification of the input data into a plurality of classes, each class being representative of at least one feature of the sample.


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