FR3074596B1 - Procede de caracterisation d'echantillons utilisant des reseaux de neurones - Google Patents
Procede de caracterisation d'echantillons utilisant des reseaux de neurones Download PDFInfo
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- FR3074596B1 FR3074596B1 FR1761522A FR1761522A FR3074596B1 FR 3074596 B1 FR3074596 B1 FR 3074596B1 FR 1761522 A FR1761522 A FR 1761522A FR 1761522 A FR1761522 A FR 1761522A FR 3074596 B1 FR3074596 B1 FR 3074596B1
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- 238000000034 method Methods 0.000 title abstract 3
- 210000002569 neuron Anatomy 0.000 title 1
- 238000013528 artificial neural network Methods 0.000 abstract 2
- 230000003595 spectral effect Effects 0.000 abstract 2
- 238000000701 chemical imaging Methods 0.000 abstract 1
- 238000001931 thermography Methods 0.000 abstract 1
- 230000009466 transformation Effects 0.000 abstract 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/28—Investigating the spectrum
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/28—Investigating the spectrum
- G01J3/2823—Imaging spectrometer
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/048—Activation functions
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/28—Investigating the spectrum
- G01J3/2823—Imaging spectrometer
- G01J2003/2826—Multispectral imaging, e.g. filter imaging
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8883—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges involving the calculation of gauges, generating models
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8887—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10032—Satellite or aerial image; Remote sensing
- G06T2207/10036—Multispectral image; Hyperspectral image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10048—Infrared image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30181—Earth observation
- G06T2207/30188—Vegetation; Agriculture
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Artificial Intelligence (AREA)
- General Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- Life Sciences & Earth Sciences (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Quality & Reliability (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Radiation Pyrometers (AREA)
- Investigating Or Analyzing Materials Using Thermal Means (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
- Character Discrimination (AREA)
Abstract
La présente invention concerne un procédé de caractérisation d'un échantillon, utilisant un ensemble d'images spectrales de l'échantillon à caractériser préalablement acquises, notamment par thermographie infrarouge ou imagerie spectrale, et au moins un réseau de neurones, le procédé comprenant les étapes consistant à : - générer au moins un volume de valeurs d'un paramètre observé à partir desdites images spectrales, pour une pluralité de coordonnées des pixels des images et une pluralité d'acquisitions, - extraire au moins un jeu de données d'entrée à partir dudit volume de données, ces données d'entrée correspondant aux valeurs du paramètre observé, pour un pixel de mêmes coordonnées selon différentes acquisitions, valeurs auxquelles au moins une fonction de transformation a été appliquée, - entraîner ledit au moins un réseau de neurones en utilisant les données d'entrée pour en extraire au moins une caractéristique de l'échantillon à caractériser.
Priority Applications (7)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
FR1761522A FR3074596B1 (fr) | 2017-12-01 | 2017-12-01 | Procede de caracterisation d'echantillons utilisant des reseaux de neurones |
US16/768,573 US11828652B2 (en) | 2017-12-01 | 2018-11-30 | Method for characterising samples using neural networks |
CN201880077916.3A CN111630356B (zh) | 2017-12-01 | 2018-11-30 | 用于使用神经网络来表征样本的方法 |
JP2020547304A JP2021504864A (ja) | 2017-12-01 | 2018-11-30 | ニューラルネットワークを使用してサンプルを特徴付けるための方法 |
CA3083079A CA3083079A1 (fr) | 2017-12-01 | 2018-11-30 | Procede de caracterisation d'echantillons utilisant des reseaux de neurones |
PCT/EP2018/083210 WO2019106179A2 (fr) | 2017-12-01 | 2018-11-30 | Procede de caracterisation d'echantillons utilisant des reseaux de neurones |
EP18814839.9A EP3717877A2 (fr) | 2017-12-01 | 2018-11-30 | Procede de caracterisation d'echantillons utilisant des reseaux de neurones |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
FR1761522A FR3074596B1 (fr) | 2017-12-01 | 2017-12-01 | Procede de caracterisation d'echantillons utilisant des reseaux de neurones |
FR1761522 | 2017-12-01 |
Publications (2)
Publication Number | Publication Date |
---|---|
FR3074596A1 FR3074596A1 (fr) | 2019-06-07 |
FR3074596B1 true FR3074596B1 (fr) | 2019-12-06 |
Family
ID=62067607
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
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FR1761522A Active FR3074596B1 (fr) | 2017-12-01 | 2017-12-01 | Procede de caracterisation d'echantillons utilisant des reseaux de neurones |
Country Status (7)
Country | Link |
---|---|
US (1) | US11828652B2 (fr) |
EP (1) | EP3717877A2 (fr) |
JP (1) | JP2021504864A (fr) |
CN (1) | CN111630356B (fr) |
CA (1) | CA3083079A1 (fr) |
FR (1) | FR3074596B1 (fr) |
WO (1) | WO2019106179A2 (fr) |
Families Citing this family (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP3608701A1 (fr) * | 2018-08-09 | 2020-02-12 | Olympus Soft Imaging Solutions GmbH | Procédé de fourniture d'au moins un procédé d'évaluation pour échantillons |
US11244050B2 (en) * | 2018-12-03 | 2022-02-08 | Mayachitra, Inc. | Malware classification and detection using audio descriptors |
CN110333260B (zh) * | 2019-07-19 | 2022-07-26 | 北京锐百凌科技有限公司 | 防爆高光谱远红外气云成像控制传输及信息处理、定向发布系统 |
KR102256181B1 (ko) * | 2019-12-30 | 2021-05-27 | 한국과학기술원 | 강구조물의 도막 상태 검사 및 평가 방법과 이를 위한 시스템 |
DE102020205456A1 (de) | 2020-04-29 | 2021-11-04 | Volkswagen Aktiengesellschaft | Verfahren, Vorrichtung und Computerprogramm zum Erzeugen von Qualitätsinformation über ein Beschichtungsprofil, Verfahren, Vorrichtung und Computerprogramm zum Erzeugen einer Datenbank, Überwachungsgerät |
US11393182B2 (en) * | 2020-05-29 | 2022-07-19 | X Development Llc | Data band selection using machine learning |
FR3114653A1 (fr) | 2020-09-30 | 2022-04-01 | Antonin VAN EXEM | Procede d’analyse de la pollution des sols |
FR3117297B1 (fr) * | 2020-12-08 | 2023-05-05 | Otodo | Procédé d’aide à l’appairage d’un objet domestique connecté avec une unité centralisée |
JP2023511240A (ja) * | 2020-12-28 | 2023-03-17 | 商▲湯▼国▲際▼私人有限公司 | 画像認識方法と装置、画像生成方法と装置、及び、ニューラルネットワークのトレーニング方法と装置 |
CN113063751B (zh) * | 2021-03-25 | 2022-04-22 | 司法鉴定科学研究院 | 一种基于红外光谱成像技术的法医学肺脂肪栓塞分析方法 |
US20230095405A1 (en) * | 2021-09-30 | 2023-03-30 | Zhejiang University | Method and system for screening spectral indexes of rice resistant to bacterial blight |
CN113984772A (zh) * | 2021-10-25 | 2022-01-28 | 浙江大学 | 基于多源数据融合的作物病害信息检测方法、系统及装置 |
CN114387226A (zh) * | 2021-12-23 | 2022-04-22 | 中国联合网络通信集团有限公司 | 大米等级划分方法、装置、设备及存储介质 |
WO2024051907A1 (fr) * | 2022-09-06 | 2024-03-14 | Frontier Innovation Aps | Système d'une flotte de systèmes de dispositifs de caractérisation de surface |
WO2024051906A1 (fr) * | 2022-09-06 | 2024-03-14 | Frontier Innovation Aps | Système de dispositif de caractérisation de surface |
CN117538658A (zh) * | 2023-11-16 | 2024-02-09 | 深圳市美信检测技术股份有限公司 | 基于红外光谱及热成像的人工智能故障定位方法及装置 |
Family Cites Families (12)
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US5991028A (en) * | 1991-02-22 | 1999-11-23 | Applied Spectral Imaging Ltd. | Spectral bio-imaging methods for cell classification |
US6058352A (en) * | 1997-07-25 | 2000-05-02 | Physical Optics Corporation | Accurate tissue injury assessment using hybrid neural network analysis |
ES2390069B1 (es) * | 2011-04-06 | 2013-10-30 | Universitat Autònoma De Barcelona | Procedimiento de caracterización y clasificación de cálculos renales |
CN102621150B (zh) | 2012-03-23 | 2014-02-05 | 南京航空航天大学 | 基于灰度共生矩阵和支持向量机的飞机蒙皮损伤识别方法 |
JP6451741B2 (ja) * | 2014-07-11 | 2019-01-16 | 株式会社ニコン | 画像解析装置、撮像システム、手術支援システム、及び画像解析プログラム |
US10139279B2 (en) | 2015-05-12 | 2018-11-27 | BioSensing Systems, LLC | Apparatuses and methods for bio-sensing using unmanned aerial vehicles |
EP3316673B1 (fr) * | 2015-07-02 | 2020-11-04 | EcoRobotix SA | Véhicule robot et méthode utilisant un robot pour un traitement automatique des organismes potagers |
WO2017096353A1 (fr) * | 2015-12-03 | 2017-06-08 | The Cleveland Clinic Foundation | Évaluation clinique automatisée de l'œil |
US9519844B1 (en) * | 2016-01-22 | 2016-12-13 | The Boeing Company | Infrared thermographic methods for wrinkle characterization in composite structures |
CN105760883A (zh) | 2016-02-15 | 2016-07-13 | 西安科技大学 | 基于红外热像的带式输送机关键部件自动识别方法 |
US9865052B2 (en) * | 2016-03-18 | 2018-01-09 | Niramai Health Analytix Pvt Ltd | Contour-based determination of malignant tissue in a thermal image |
CN106022365B (zh) | 2016-05-16 | 2019-04-02 | 电子科技大学 | 基于数据融合和rbf神经网络的表面缺陷深度估计方法 |
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2017
- 2017-12-01 FR FR1761522A patent/FR3074596B1/fr active Active
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2018
- 2018-11-30 CN CN201880077916.3A patent/CN111630356B/zh active Active
- 2018-11-30 WO PCT/EP2018/083210 patent/WO2019106179A2/fr unknown
- 2018-11-30 JP JP2020547304A patent/JP2021504864A/ja active Pending
- 2018-11-30 US US16/768,573 patent/US11828652B2/en active Active
- 2018-11-30 EP EP18814839.9A patent/EP3717877A2/fr active Pending
- 2018-11-30 CA CA3083079A patent/CA3083079A1/fr active Pending
Also Published As
Publication number | Publication date |
---|---|
JP2021504864A (ja) | 2021-02-15 |
CA3083079A1 (fr) | 2019-06-06 |
US20200333185A1 (en) | 2020-10-22 |
US11828652B2 (en) | 2023-11-28 |
FR3074596A1 (fr) | 2019-06-07 |
CN111630356A (zh) | 2020-09-04 |
CN111630356B (zh) | 2023-10-03 |
WO2019106179A3 (fr) | 2019-07-25 |
EP3717877A2 (fr) | 2020-10-07 |
WO2019106179A2 (fr) | 2019-06-06 |
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