0000000000422216

AUTHOR

G. Thauvin

showing 3 related works from this author

New method of grain-boundary extraction by directional optimal filtering: application to estimating creep in metals

2002

It is economically important for manufacturers of high- temperature machines to be able to measure creep so they can predict residual service life more accurately. This paper describes and refines an image analysis method for evaluating creep in laboratory test pieces. It is a preliminary study of how to extract relevant information for creep mea- surement by counting cavities. Sample preparation for quantification by image analysis is an important step determining the further development of the image analysis technique. Grain-boundary extraction, which in- volves directional information, is the major problem to be solved before measurement can be automated. The search for a crest-line extr…

Measure (data warehouse)business.industryComputer scienceGeneral EngineeringFilter (signal processing)Atomic and Molecular Physics and Opticssymbols.namesakeFourier transformWaveletCreepsymbolsGrain boundaryComputer visionArtificial intelligenceInstrumentation (computer programming)businessAlgorithmDigital filterLinear filterOptical Engineering
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Image analysis of corrosion pit damage

1999

Materials scienceMetallurgyGeneral EngineeringAtomic and Molecular Physics and OpticsCorrosionImage (mathematics)Optical Engineering
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Evaluating creep in metals by grain boundary extraction using directional wavelets and mathematical morphology

2001

Abstract It is economically important for manufacturers of high-temperature machines to be able to measure creep so that they can predict residual service life more accurately. This paper describes and refines an image analysis method for evaluating creep in laboratory test pieces. It is a preliminary study of how to extract relevant information for creep measurement by cavities counting. Sample preparation for quantification by image analysis is an important step determining the further development of the image analysis technique. Grain boundary extraction, which is directional information, is the major question to be overcome before measurement can be automated. The search for a crest-lin…

EngineeringMeasure (data warehouse)Materials sciencebusiness.industryMetallurgyMetals and AlloysPattern recognitionFilter (signal processing)Mathematical morphologyCondensed Matter PhysicsIndustrial and Manufacturing EngineeringComputer Science ApplicationsImage (mathematics)WaveletCreepModeling and SimulationMaterials ChemistryCeramics and CompositesGrain boundaryComputer visionExtraction (military)Artificial intelligencePhysical and Theoretical ChemistrybusinessAlgorithmJournal of Materials Processing Technology
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