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Robust image processing technique for Knoop hardness measurement

Citace: [] HRÚZ, M., ŠIROKÝ, J., MAŇAS, D. Robust image processing technique for Knoop hardness measurement. In Proceedings of IMEKO 17th TC-4, 3rd TC-19 Symposium and Workshop IWADC. SLOVAKIA: Technical University of Kosice, 2010. ISBN: 978-80-553-0424-3
Druh: STAŤ VE SBORNÍKU
Jazyk publikace: eng
Anglický název: Robust image processing technique for Knoop hardness measurement
Rok vydání: 2010
Místo konání: SLOVAKIA
Název zdroje: Technical University of Kosice
Autoři: Ing. Marek Hrúz , Ing. Jan Široký , Ing. David Maňas PhD
Abstrakt EN: Rapid increase of computational performance of personal computers has enabled employment of automatic hardness measurement in the last decade. It reduces the human factor in measurement and speeds up the measurement process. On the other hand, the automatic measurement often fails, when the specimen surface is not well prepared. Robust image processing algorithm is crucial for the automatic hardness measurement. The article introduces a combination of an advanced image processing technique called Active Shape Modeling (ASM) and a sophisticated model estimation technique called Particle Filtering (PF). It enables measurement of rough polished specimens and minimizes the effect of specimen surface properties.
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