Studies on surface roughness evaluation using machine vision

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dc.contributor.guideKarunamoorthy Len_US
dc.coverage.spatialsurface roughness evaluation using machine visionen_US
dc.creator.researcherElango Ven_US
dc.date.accessioned2014-10-27T05:52:19Z
dc.date.available2014-10-27T05:52:19Z
dc.date.awarded30/12/2007en_US
dc.date.completed01/12/2007en_US
dc.date.issued2014-10-27
dc.date.registeredn.d.en_US
dc.description.abstractSurface finish of work piece enhances the appearance and overall newlinequality of the component The properties of the surface can significantly newlineaffect friction wear fatigue corrosion thermal conductivity etc Hence newlineinspection of the surface finish is essential for product quality control newlineMajority of the commercial surface roughness measuring instruments are of newlinecontact type and are widely accepted for inspection But its inability for faster newlineevaluation and its incompatibility for automation have led to alternate newlinetechniques for faster measurement Machine vision is tried as substitute for newlineroughness instruments Many investigations are being carried out to evaluate newlinesurface roughness using machine vision newline newlineen_US
dc.description.noteReference p.220-226en_US
dc.format.accompanyingmaterialNoneen_US
dc.format.dimensions23cmen_US
dc.format.extentxxvii,229p.en_US
dc.identifier.urihttp://hdl.handle.net/10603/27185
dc.languageEnglishen_US
dc.publisher.institutionFaculty of Mechanical Engineeringen_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.relationp.220-226en_US
dc.rightsuniversityen_US
dc.source.universityUniversityen_US
dc.subject.keywordmachine visionen_US
dc.subject.keywordsurface roughnessen_US
dc.titleStudies on surface roughness evaluation using machine visionen_US
dc.title.alternativeen_US
dc.type.degreePh.D.en_US

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