Lee, J., Smith, M., Smith, L. and Midha, P.
Robust and efficient automated detection of tooling defects in oolished stone.
Computers in Industry, 56.
Available from: http://eprints.uwe.ac.uk/5968
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Publisher's URL: http://dx.doi.org/10.1016/j.compind.2005.05.006
|Additional Information:||This work (funded by an EC Framework grant) led to an automatic, quantitative, vision-based system for detecting fine scratches on the surface of natural stone. This system has been successfully tested and installed at �Maserc' stone polishers replacing laborious manual methods. The techniques developed can also provide improved, product standardisation, quality assurance and adaptive process control for a number of industries. (Company contacts: Mr Joaquim Coelho, MASERC � Marmores Sergio Coelho, LDA and Mr Carlos Joao Oliveira, Antonio Jacinto Figueiredo, LDA, both of Pero Pinheiro, PORTUGAL.)|
|Uncontrolled Keywords:||circle detection, circle hough transform, randomised algorithm, surface inspection, polished stone|
|Faculty/Department:||Faculty of Environment and Technology|
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|Deposited On:||22 Jan 2010 15:11|
|Last Modified:||27 Jan 2014 14:57|
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