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dc.contributor.authorAl-Kindi, G.
dc.contributor.authorShirinzadeh, B.
dc.contributor.authorZhong, Yongmin
dc.contributor.editorBillingsley, John, ed.
dc.date.accessioned2017-01-30T11:27:03Z
dc.date.available2017-01-30T11:27:03Z
dc.date.created2012-12-03T07:24:56Z
dc.date.issued2006
dc.identifier.citationAl-Kindi, Ghassan A. and Shirinzadeh, Bijian and Zhong, Yongmin. 2006. Machine vision application for machined components surface roughness assessment in the micro and nano-scale regions, in Billingsley, J. (ed), The 13th Annual Conference on Mechatronics and Machine Vision in Practice, Dec 5-7 2006. Toowoomba QLD: Curran Associates.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/11820
dc.description.abstract

The commonly used method for surface roughness measurement in industrial applications is the direct method by using a measuring stylus [Lo et al. 2005]. Stylus techniques have great inherent limitations, such as the fragility of the instrument, the possible surface scratching, and the limited accuracy due to probe tip radius. In addition, only 2D surface topography is acquired with stylus techniques [Jetley et al. 1993].The development of non-contact based roughness measurement techniques for engineering surfaces has received considerable attention. The non-contact based roughness measurement techniques aim to find alternative ways to permit rapid surface roughness measurement with acceptable accuracy. One of the most promising non-contact based roughness measurement techniques is the computer vision technique [Li et al. 2004]. However, practical surface roughness measurement based on computer vision technology is still difficult [Lee and Tarng, 2001].

dc.publisherCurran Associates
dc.titleMachine vision application for machined components surface roughness assessment in the micro and nano-scale regions
dc.typeConference Paper
dcterms.source.titleThe 13th Annual Conference on Mechatronics and Machine Vision in Practice
dcterms.source.seriesThe 13th Annual Conference on Mechatronics and Machine Vision in Practice
dcterms.source.isbn9781605600871
dcterms.source.conferenceThe 13th Annual Conference on Mechatronics and Machine Vision in Practice
dcterms.source.conference-start-dateDec 5 2006
dcterms.source.conferencelocationToowoomba QLD
dcterms.source.placeQLD
curtin.department
curtin.accessStatusFulltext not available


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