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image analysis

image analysis, Total:117 items.

In the international standard classification, image analysis involves: Particle size analysis. Sieving, Laundry appliances, Construction materials, Protection against crime, Extraction and processing of petroleum and natural gas, Ferrous metals, Medical equipment, Cereals, pulses and derived products, Food products in general, Welding, brazing and soldering, Textile auxiliary materials, Fibre optic communications, Testing of metals, Coals, Character sets and information coding, Applications of information technology, Pulps, Analytical chemistry, Textile fibres, Fuels, Non-ferrous metals, Road engineering, Physics. Chemistry, Protection against dangerous goods, Paper and board, Paper products, Microbiology, Products of the textile industry.

British Standards Institution (BSI), image analysis

BS ISO 13322-2:2006 Particle size analysis - Image analysis methods - Dynamic image analysis methods
BS ISO 13322-2:2021 Tracked Changes. Particle size analysis. Image analysis methods. Dynamic image analysis methods
20/30365224 DC BS ISO 13322-2. Particle size analysis. Image analysis methods. Part 2. Dynamic image analysis methods
PD ISO/TR 25477:2008 Paper, board and pulps. Basic guidelines for image analysis measurements
PD ISO/TS 20498-4:2020 Traditional Chinese medicine. Computerized tongue image analysis system. Peripheral visual instruments
PD ISO/TR 945-2:2011 Microstructure of cast irons. Graphite classification by image analysis
BS IEC 61745:1998 End-face image analysis procedure for the calibration of optical fibre geometry test sets
BS IEC 61745:1999 End-face image analysis procedure for the calibration of optical fibre geometry test sets
BS ISO 15360-2:2015 Recycled pulps. Estimation of Stickies and Plastics. Image analysis method
BS EN 15415-3:2012 Solid recovered fuels. Determination of particle size distribution. Method by image analysis for large dimension particles
17/30357893 DC BS ISO 20498-1. Traditional Chinese medicine. Computerized tongue image analysis system. Part 1. General requirements
PD ISO/TR 20498-5:2019 Traditional Chinese medicine. Computerized tongue image analysis system. Method of acquisition and expression of tongue colour and tongue coating colour

中华人民共和国国家质量监督检验检疫总局、中国国家标准化管理委员会, image analysis

GB/T 21649.2-2017 Particle size analysis—Image analysis methods—Part2：Dynamic image analysis methods
GB/T 35865-2018 Inspection of grain and oils—Determinination of head rice yield of paddy—Image analysis method
GB/T 35881-2018 Inspection of grain and oils—Determination of yellow-colored kernelof paddy—Image analysis method

International Organization for Standardization (ISO), image analysis

ISO 13322-1:2004 Particle size analysis - Image analysis methods - Part 1: Static image analysis methods
ISO 13322-2:2006 Particle size analysis - Image analysis methods - Part 2: Dynamic image analysis methods
ISO 13322-1:2014 Particle size analysis - Image analysis methods - Part 1: Static image analysis methods
ISO 13322-2:2021 Particle size analysis — Image analysis methods — Part 2: Dynamic image analysis methods
ISO/TR 945-2:2011 Microstructure of cast irons. Part 2: Graphite classification by image analysis
ISO/TS 20498-3:2020 Traditional Chinese medicine — Computerized tongue image analysis system — Part 3: Colour chart
ISO/TS 20498-4:2020 Traditional Chinese medicine — Computerized tongue image analysis system — Part 4: Peripheral visual instruments
ISO/CD 21910-2:2023 Fine bubble technology — Characterization of microbubbles — Part 2: In-situ dynamic image analysis method

Japanese Industrial Standards Committee (JISC), image analysis

JIS Z 8827-1:2008 Particle size analysis -- Image analysis methods -- Part 1: Static image analysis methods
JIS Z 8827-2:2010 Particle size analysis -- Image analysis methods -- Part 2: Dynamic image analysis methods
JIS Z 8827-1:2018 Particle size analysis -- Image analysis methods -- Part 1: Static image analysis methods
JIS C 6828:2004 End-face image analysis procedure for the calibration of optical fiber geometry test sets
JIS P 8231:2006 Recycled pulps -- Estimation of Stickies and Plastics -- Image analysis method

General Administration of Quality Supervision, Inspection and Quarantine of the People‘s Republic of China, image analysis

GB/T 21649.1-2008 Particle size analysis.Image analysis methods.Part 1: Static image analysis method
GB/T 29775-2013 Pulps.Determination of fiber coarseness by automated optical analysis.Image analysis method
GB/T 28218-2011 Pulps.Determination of fibre length by automated optical analysis.Image analysis method
GB/T 32496-2016 Test method for volume fraction of reinforcement in metal matrix composites.Image analysis method
GB/T 18876.3-2008 Standard practice for determining the metallographical constituent and inclusion content of steels and other metals by automatic image analysis.Part 3:Determining the carbides rating in steels by automatic image analysis and stereology
GB/T 18876.2-2006 Standard practice for determination the metallographical constituent and inclusion content of steels and other metals by automatic image analysis.Part 2:Determining the inclusion ratings of steels by automatic image analysis and stereology

国家市场监督管理总局、中国国家标准化管理委员会, image analysis

GB/T 38879-2020 Particle—Size analysis—Color image analysis methods
GB/T 40485-2021 Method of determining automatically the random reflectance of vitrinite in coal—Image analysis method
GB/T 38902-2020 Determination of hollow fiber membrane cross-section dimensions—Image analysis method

Group Standards of the People's Republic of China, image analysis

T/CHEAA 0010-2019 Determination of fabric appearance smoothness - Image analysis
T/CSPIA 005-2021 Technical requirements for multi-algorithm application of video and image analysis for public security
T/CESA 1035-2019 Information technology- Artificial intelligence- Audio,video and image analysis algotithm interface
T/CESA 1149-2021 Application of artificial intelligence chip - Technical requirements to the auxiliary diagnostic system of pathological image analysis
T/CNTAC 158-2023 Textiles—Test method for assessing the smoothness appearance of seams in fabrics after cleansing—Image analysis

Korean Agency for Technology and Standards (KATS), image analysis

KS F 2600-2008 Standard test method for corrosion evaluation of reinforcing bar by image analysis method
KS M ISO 25477:2019 Paper, board and pulps－Basic guidelines for image analysis measurements
KS F 2600-2008(2018) Standard test method for corrosion evaluation of reinforcing bar by image analysis method
KS M ISO 15360-2:2007 Recycled pulps－Estimation of Stickies and Plastics－Part 2：Image analysis method
KS M ISO 15360-2:2017 Recycled pulps－Estimation of Stickies and Plastics－Part 2：Image analysis method

Professional Standard - Public Safety Standards, image analysis

GA/T 1399.2-2017 Video and image analysis system for public security.Part 2:Technical specifications for analysis and description of video and image content
GA/T 1154.1-2014 Video analysis instrument.Part 1:General technical requirements
GA 1154.1-2014 Video Image Analyzer Part 1: General Technical Requirements
GA/T 1154.4-2018 Video Image Analyzer Part 4: Technical Requirements for Face Analysis
GA/T 1154.4-2018(1) Video Image Analyzer Part 4: Technical Requirements for Face Analysis
GA/T 1154.2-2014 Video analysis instrument.Part 2:Technical requirements for video abstract
GA/T 1154.3-2017 Video Image Analyzer Part 3 Technical Requirements for Video Image Retrieval
GA 1154.2-2014 Video Image Analyzers Part 2: Video Image Summary Technical Requirements
GA/T 1399.1-2017 Public Security Video Image Analysis System Part 1: General Technical Requirements
GA/T 2000.255-2019 Public Security Information Code Part 255: Video Image Analysis Type Codes
GA/T 1154.5-2016 Video Image Analyzer Part 5: Technical Requirements for Video Image Enhancement and Restoration

KR-KS, image analysis

KS M ISO 25477-2019 Paper, board and pulps－Basic guidelines for image analysis measurements
KS F 2600-2008(2023) Standard test method for corrosion evaluation of reinforcing bar by image analysis method
KS M ISO 15360-2-2017 Recycled pulps－Estimation of Stickies and Plastics－Part 2：Image analysis method

Professional Standard - Petroleum, image analysis

SY/T 6103-2004 Image Analysis Method for Determination of Rock Pore Structure Characteristic

国家能源局, image analysis

SY/T 6103-2019 Image analysis method for determining rock pore structure characteristics

Professional Standard - Grain, image analysis

LS/T 6104-2012 Inspection of grain and oils.Determination of head rice yield of paddy.Image analysis method

Association Francaise de Normalisation, image analysis

FD Q03-121*FD ISO/TR 25477:2008 Paper, board and pulps - Basic guidelines for image analysis measurements
NF EN 61745:2018 Procédure d'analyse d'image d'extrémité pour l'étalonnage de dispositifs d'essais de géométrie des fibres optiques
FD ISO/TR 25477:2008 Papier, carton et pâtes - Lignes directrices de base pour les mesurages en analyse d'image
NF A04-197:2004 Foundry products - Spheroidal graphite cast iron castings - Characterisation of the shape of the graphite by image analysis.
NF A04-197:2017 Spheroidal graphite cast irons - Graphite shape caracterisation by image analysis
NF C93-809*NF EN 61745:2018 End-face image analysis procedure for the calibration of optical fibre geometry test sets
NF A03-301:2002 Founding - Measurement of the mean intercept using image analysis - Aluminium castings with a 5 to 11 content % of silicium.
NF EN 15415-3:2012 Combustibles solides de récupération - Détermination de la distribution granulométrique - Partie 3 : méthode par analyse d'images des particules de grande dimension
NF X34-214-3*NF EN 15415-3:2012 Solid recovered fuels - Determination of particle size distribution - Part 3 : method by image analysis for large dimension particles

Institute of Interconnecting and Packaging Electronic Circuits (IPC), image analysis

IPC TM-650 2.2.14.2-1995 Solder Powder Particle Size Distribution - Optical Image Analyzer Method

Professional Standard - Agriculture, image analysis

NY/T 2222-2012 Test for the average diameter and component of animal fiber.Microscopic image analyser

American Society for Testing and Materials (ASTM), image analysis

ASTM D7879-13 Standard Test Method for Determining Flax Fiber Widths Using Image Analysis
ASTM D7879-13(2018) Standard Test Method for Determining Flax Fiber Widths Using Image Analysis
ASTM D7681-11(2016)e1 Standard Test Method for Measuring Gradation of Glass Spheres Using a Flowing Stream Digital Image Analyzer
ASTM D7681-11(2016) Standard Test Method for Measuring Gradation of Glass Spheres Using a Flowing Stream Digital Image Analyzer
ASTM E1382-97(2023) Standard Test Methods for Determining Average Grain Size Using Semiautomatic and Automatic Image Analysis
ASTM D7681-11(2021) Standard Test Method for Measuring Gradation of Glass Spheres Using a Flowing Stream Digital Image Analyzer
ASTM D7681-11 Standard Test Method for Measuring Gradation of Glass Spheres Using a Flowing Stream Digital Image Analyzer
ASTM D7971-20 Standard Guide for Measuring Roundness of Glass Spheres Using a Flowing Stream Digital Image Analyzer
ASTM D7971-15 Standard Guide for Measuring Roundness of Glass Spheres Using a Flowing Stream Digital Image Analyzer
ASTM E2567-16a(2023) Standard Test Method for Determining Nodularity And Nodule Count In Ductile Iron Using Image Analysis
ASTM E2567-12a Standard Test Method for Determining Nodularity And Nodule Count In Ductile Iron Using Image Analysis
ASTM F2997-13 Standard Practice for Quantification of Calcium Deposits in Osteogenic Culture of Progenitor Cells Using Fluorescent Image Analysis
ASTM E2567-16 Standard Test Method for Determining Nodularity And Nodule Count In Ductile Iron Using Image Analysis
ASTM E2567-16a Standard Test Method for Determining Nodularity And Nodule Count In Ductile Iron Using Image Analysis
ASTM F2997-21 Standard Practice for Quantification of Calcium Deposits in Osteogenic Culture of Progenitor Cells Using Fluorescent Image Analysis

Danish Standards Foundation, image analysis

DS/ISO/TR 945-2:2013 Microstructure of cast irons - Part 2: Graphite classification by image analysis
DS/EN 15415-3:2012 Solid recovered fuels - Determination of particle size distribution - Part 3: Method by image analysis for large dimension particles

European Committee for Electrotechnical Standardization（CENELEC）, image analysis

EN 61745:2017 End-face image analysis procedure for the calibration of optical fibre geometry test sets

German Institute for Standardization, image analysis

DIN EN 61745:2018-06 End-face image analysis procedure for the calibration of optical fibre geometry test sets (IEC 61745:2017); German version EN 61745:2017

ES-UNE, image analysis

UNE-EN 61745:2017 End-face image analysis procedure for the calibration of optical fibre geometry test sets (Endorsed by Asociación Española de Normalización in December of 2017.)

American National Standards Institute （ANSI), image analysis

ANSI/TIA-455-225-2002 FOTP225 - End Face Image Analysis Procedure for the Calibration of Optical Fibre Geometry Test Sets
ANSI/TIA/EIA 455-225-2002 FOTP225 - End Face Image Analysis Procedure for the Calibration of Optical Fibre Geometry Test Sets
ANSI/TAPPI T563 om-2012 Equivalent black area (EBA) and count of visible dirt in pulp, paper and paperboard by image analysis
ANSI/TAPPI T568 om-2012 Physical area of sub-visible contraries in pulp, paper, and paperboard by image analysis

未注明发布机构, image analysis

BS 3406-4:1993(1999) Methods for determination of particle size distribution — Part 4 : Guide to microscope and image analysis methods

The American Road & Transportation Builders Association, image analysis

AASHTO TP 81-2011 Standard Method of Test for Determining Aggregate Shape Properties by Means of Digital Image Analysis
AASHTO TP 81-2012 Standard Method of Test for Determining Aggregate Shape Properties by Means of Digital Image Analysis
AASHTO PP 64-2011 Standard Practice for Determining Aggregate Source Shape Values from Digital Image Analysis Shape Properties
AASHTO TP 81-2010 Standard Method of Test for Determining Aggregate Shape Properties by Means of Digital image Analysis Revision 1

AASHTO - American Association of State Highway and Transportation Officials, image analysis

TP 81-2012 Standard Method of Test for Determining Aggregate Shape Properties by Means of Digital Image Analysis
TP 81-2011 Standard Method of Test for Determining Aggregate Shape Properties by Means of Digital Image Analysis
T 381-2018 Standard Method of Test for Determining Aggregate Shape Properties by Means of Digital Image Analysis
PP 64-2011 Standard Practice for Determining Aggregate Source Shape Values from Digital Image Analysis Shape Properties
R 91-2018 Standard Practice for Determining Aggregate Source Shape Values from Digital Image Analysis Shape Properties
PP 64-2010 Standard Practice for Determining Aggregate Source Shape Values from DIgital image Analysis Shape Properties (Revision 1)
TP 81-2010 Standard Method of Test for Determining Aggregate Shape Properties by Means of Digital image Analysis (Revision 1)

(U.S.) Telecommunications Industries Association , image analysis

TIA/EIA-455-225-2002 FOTP-225 IEC-61745 End Face Image Analysis Procedure for the Calibration of Optical Fibre Geometry Test Sets
TIA-455-225-2015 FOTP-225 IEC-61745 End-Face Image Analysis Procedure for the Calibration of Optical Fibre Geometry Test Sets

European Committee for Standardization (CEN), image analysis

EN 15415-3:2012 Solid recovered fuels - Determination of particle size distribution - Part 3: Method by image analysis for large dimension particles

RU-GOST R, image analysis

GOST R 55552-2013 Solid recovered fuels. Determination of particle size distribution. Part 3. Method by image analysis for large dimension particles

Lithuanian Standards Office , image analysis

LST EN 15415-3-2012 Solid recovered fuels - Determination of particle size distribution - Part 3: Method by image analysis for large dimension particles

AENOR, image analysis

UNE-EN 15415-3:2012 Solid recovered fuels - Determination of particle size distribution - Part 3: Method by image analysis for large dimension particles