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1. US20210224970 - METHOD FOR ESTIMATING MEASURABLE PROPERTIES IN A THREE-DIMENSIONAL VOLUME OF MATERIAL

Office
United States of America
Application Number 17056364
Application Date 16.05.2019
Publication Number 20210224970
Publication Date 22.07.2021
Publication Kind A1
IPC
G06T 7/00
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7Image analysis
G06N 3/08
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
G06N 20/10
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
10using kernel methods, e.g. support vector machines
CPC
G06N 3/08
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
G06T 7/0002
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7Image analysis
0002Inspection of images, e.g. flaw detection
G06T 2207/20084
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
2207Indexing scheme for image analysis or image enhancement
20Special algorithmic details
20084Artificial neural networks [ANN]
G06T 2207/20081
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
2207Indexing scheme for image analysis or image enhancement
20Special algorithmic details
20081Training; Learning
G06N 20/10
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
10using kernel methods, e.g. support vector machines [SVM]
Applicants BIORETICS S.R.L.
Inventors Matteo ROFFILLI
Title
(EN) METHOD FOR ESTIMATING MEASURABLE PROPERTIES IN A THREE-DIMENSIONAL VOLUME OF MATERIAL
Abstract
(EN)

Method for estimating measurable properties in a three-dimensional volume of material, in particular, the present method providing for the estimation of physical, chemical, biological and/or statistical properties of a volume of material, be it solid, liquid or gaseous; wherein a two-dimensional digital image is obtained, representing a single projection of said volume, which is obtained from a single view position in transmissive or partially reflective mode and wherein said two-dimensional digital image is subjected to analysis by means of machine learning algorithms in supervised mode.


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