caa a22 4500 467936684 CHVBK 20180406152959.0 cr unu---uuuuu 170328e20060201xx s 000 0 eng 10.1007/s00138-005-0009-8 doi (NATIONALLICENCE)springer-10.1007/s00138-005-0009-8 Estimation and monitoring of product aesthetics: application to manufacturing of "engineered stone” countertops [Elektronische Daten] [J. Liu, John MacGregor] A new machine vision approach for quantitatively estimating and monitoring the appearance and aesthetics of manufactured products is presented. The approach is composed of three steps: (1) wavelet-based textural feature extraction from product images, (2) estimation of measures of the product appearance through subspace projection of the textural features, and (3) monitoring of the appearance in the latent variable subspace of the textural features. The methodology is specifically designed to treat the stochastic nature of the visual appearance of many manufactured products. This nondeterministic aspect of product appearance has been an obstacle for the success of machine vision in many industries. The emphasis of this approach is on the consistent and quantitative estimation of continuous variations in visual appearance rather than on classification into discrete classes. This allows for the on-line monitoring and the eventual feedback control of product appearance. This approach is successfully applied to the estimation and monitoring of the aesthetic quality of manufactured stone countertops. Springer-Verlag, 2005 Engineered stone countertops nationallicence Machine vision nationallicence Monitoring nationallicence Visual appearance nationallicence Wavelet texture analysis nationallicence Principal component analysis nationallicence Liu J. Department of Chemical Engineering, McMaster University, 1280 Main Street West, L8S 4L7, Hamilton, Ontario, Canada aut MacGregor John Department of Chemical Engineering, McMaster University, 1280 Main Street West, L8S 4L7, Hamilton, Ontario, Canada aut Machine Vision and Applications Springer-Verlag 16/6(2006-02-01), 374-383 0932-8092 16:6<374 2006 16 138 https://doi.org/10.1007/s00138-005-0009-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00138-005-0009-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Liu J. Department of Chemical Engineering, McMaster University, 1280 Main Street West, L8S 4L7, Hamilton, Ontario, Canada aut NATIONALLICENCE 700 1- MacGregor John Department of Chemical Engineering, McMaster University, 1280 Main Street West, L8S 4L7, Hamilton, Ontario, Canada aut NATIONALLICENCE 773 0- Machine Vision and Applications Springer-Verlag 16/6(2006-02-01), 374-383 0932-8092 16:6<374 2006 16 138 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer