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- W3208342887 abstract "The color-separation of ceramic-tiles is still dominated by human eye discrimination in actual production. According to the actual production, this paper proposes a ceramic-tile color-separation framework based on few labeled data training, which can realize the color-separation of ceramic-tiles with complex patterns. Firstly, the image with ceramic-tile only is obtained by image pre-processing, then the features are extracted by histogram statistics under HSV color space in sub-regions, and finally the support vector machine model is trained to obtain the classifier using the features extracted from a small number of training data and this classifier is applied to the automatic color-separation of ceramic-tiles. Experimental results of simulation and Practical application have proven the effectiveness of the proposed method." @default.
- W3208342887 created "2021-11-08" @default.
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- W3208342887 date "2021-10-01" @default.
- W3208342887 modified "2023-10-14" @default.
- W3208342887 title "Color-Separation Framework for Ceramic-Tiles based on Few Labeled Data by HSV and SVM" @default.
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- W3208342887 doi "https://doi.org/10.1088/1742-6596/2044/1/012105" @default.
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