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- W2895877643 abstract "In this paper, we propose a supervised classification of color texture images. The purpose is to detect and identify the defected images among the initial set of images. The method constructs a discriminate attribute space of color texture images of reduced dimension. This obtains a good quality classification in a well reduced computation time. This approach is based on the evolution strategies algorithm. It selects an optimal number of attributes which is much less than the initial number considered. We have considered the (R, G, B) color space and the intra and inter components of this space. This technique is applied to the classification and quality control of Moroccan paving decorations and has obtained good results." @default.
- W2895877643 created "2018-10-26" @default.
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- W2895877643 date "2018-02-05" @default.
- W2895877643 modified "2023-09-28" @default.
- W2895877643 title "Classification and Quality Control of Color Pavings by Evolution Strategies" @default.
- W2895877643 hasPublicationYear "2018" @default.
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