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Volumn 27, Issue 4, 2009, Pages 444-458

Feasibility assessment of vision-based surface roughness parameters acquisition for different types of machined specimens

Author keywords

Image texture; Roughness parameters; Surface measurement; Vision based topography

Indexed keywords

ENGINEERING GEOLOGY; FRICTION; INDUSTRIAL APPLICATIONS; MACHINING; MATHEMATICAL MODELS; MERGERS AND ACQUISITIONS; SURFACE MEASUREMENT; SURFACE PROPERTIES; SURFACE ROUGHNESS; TEXTURES; THREE DIMENSIONAL;

EID: 58049196891     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.imavis.2008.06.011     Document Type: Article
Times cited : (36)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.