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Color Measurement of Segmented Printed Fabric Patterns in Lab Color Space from RGB Digital Images

机译:从RGB数字图像测量实验室色彩空间中分段印花织物图案的颜色

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Colors of textile materials are the first parameter of quality evaluated by consumers and a key component considered in selecting printed fabric. In the textiles industry, digital printed fabric analysis is one of the basic elements in successfully utilizing a color mechanism scheme and objectively evaluating fabric color alterations. Precise color measurement, however, is mostly used in sample analysis and quality inspection which help to produce reproducible or similar product. It is important that for quality inspection, the color of the product should be measured as a necessary requirement of quality control whether the product is to be accepted or not. Presented in this study is an unsupervised segmentation of printed fabrics patterns using mean shift algorithm and color measurements over the segmented regions of printed fabric patterns. The results established a consistent and reliable color measurement of multiple color patterns and appearance with the established range without any interactions.
机译:纺织材料的颜色是消费者评估质量的首要参数,也是选择印花织物时要考虑的关键因素。在纺织品工业中,数字印花织物分析是成功利用颜色机制方案并客观评估织物颜色变化的基本要素之一。但是,精确的颜色测量主要用于样品分析和质量检查,这有助于生产可再现或相似的产品。对于质量检查而言,重要的是,应测量产品的颜色,作为质量控制的必要要求,无论是否接受该产品。在这项研究中提出的是使用均值平移算法和对印花织物图案的分割区域进行颜色测量的无监督的印花织物图案分割方法。结果建立了多种颜色图案和外观的一致且可靠的颜色测量,并且具有既定范围,没有任何相互作用。

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