Robust and efficient automated detection of tooling defects in oolished stone

Lee, J., Smith, M., Smith, L. and Midha, P. (2005) Robust and efficient automated detection of tooling defects in oolished stone. Computers in Industry, 56. pp. 787-801. ISSN 0166-3615

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Publisher's URL: http://dx.doi.org/10.1016/j.compind.2005.05.006


Item Type:Article
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
ID Code:5968
Deposited By: R. Upload account
Deposited On:22 Jan 2010 15:11
Last Modified:27 Jan 2014 14:57

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