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

GA Al-Kindi, B Shirinzadeh - Image and Vision Computing, 2009 - Elsevier
This paper presents a feasibility assessment of acquiring vision-based surface roughness
parameters for specimens produced by different machining type processes. Twenty
produced specimens using five of the most common machining operations were employed
in the investigation. Stylus-based measurements of these specimens are performed and
results are compared to vision-based measurements using amplitude, spacing and hybrid
roughness parameters. The applied filtering technique was based on 0.8 mm cut-off value …

[引用][C] Al-Kindi and Bihan Shirnzadeh, 2009,“Feasibility Assessment of Vision-based Surface Roughness Parameters Acquisition for Different Types of Machined …

A Ghassan - Image and Vision Computing, 2008
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