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- W2327387980 abstract "An image analysis-based soft sensor is designed and applied to the automatic quality classification of product appearance with color-textural characteristics. In this work, multiresolutional multivariate image analysis (MR-MIA) is used in order to analyze product images with color as well as texture. Partial least-squares-discriminant analysis (PLS-DA) is also used as a supervised learning method for automatic classification. The use of PLS-DA, one of the latent variable methods, enables not only classification of product appearances into distinct classes, but also estimation of product appearance with continuous variations, and analysis of of the appearance characteristics. This approach is successfully applied to the automatic quality classification of intermediate and final products in the industrial manufacturing of engineered stone countertops." @default.
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- W2327387980 date "2013-03-06" @default.
- W2327387980 modified "2023-10-14" @default.
- W2327387980 title "Quality Characterization and Classification of Engineered Stone Countertops Using a Soft-Sensor Based on Image Analysis" @default.
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- W2327387980 doi "https://doi.org/10.1021/ie303442r" @default.
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