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Image Segmentation Based Determination of Elastane Core Yarn Diameter

机译:基于图像分割的氨纶芯纱直径的确定

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Yarn diameter is one of the key knitted fabric parameters, whose accurate determination, however, continues to be a difficult task. The goal of the study presented was to calculate the diameter of do) and wet relaxed yarns with and without incorporated elastane using image processing and -analysis tools implemented in MATLAB. Compared to the images of wet relaxed samples, a much more sophisticated segmentation approach had to be implemented for dry relaxed yarn images due to their weaker yarn-background contrast. The values calculated were compared with those obtained with the conventional yarn thickness determination method developed by Sadikov. Linear correlation between the two techniques was found to be substantial - coefficients of determination for the yarn diameters of the wet and dry relaxed samples were 0.87 and 0.72, respectively. Unlike Sadikov's method, our newly developed technique calculates yarn core diameter without hairiness.
机译:纱线直径是关键的针织物参数之一,然而,其精确确定仍然是一项艰巨的任务。所进行研究的目的是使用在MATLAB中实现的图像处理和分析工具,计算加入和不加入氨纶的do)和湿松弛纱的直径。与湿松弛样品的图像相比,由于干松弛纱线图像的纱线背景对比度较弱,因此必须采用更为复杂的分割方法。将计算出的值与通过Sadikov开发的常规纱线厚度确定方法获得的值进行比较。两种技术之间的线性相关性非常重要-湿和干松弛样品的纱线直径的测定系数分别为0.87和0.72。与Sadikov的方法不同,我们新开发的技术可计算出没有毛羽的纱芯直径。

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