Automatic Detection of Structure Parameters of Yarn-dyed Fabric
Automatic Detection of Structure Parameters of Yarn-dyed Fabric
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DOI：
10.1177/0040517510369411
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发表时间：
2010-10
影响因子：
2.3
通讯作者：
Ruru Pan;Weidong Gao;Jihong Liu;Hongbo Wang;Xiaoting Zhang
中科院分区：
文献类型：
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作者：
Ruru Pan;Weidong Gao;Jihong Liu;Hongbo Wang;Xiaoting Zhang
本研究构建了一个基于图像分析的色织织物密度、色彩效果、色纱布局和机织花纹的自动识别系统。为了检测纱线的密度，首先利用Hough变换检测纱线的倾斜角，然后利用方向滤波和灰度图像增强纱线的纹理和边界信息。采用灰度投影法对增强后的图像进行纱线和浮子定位。为了获得颜色效果，采用FCM算法对花车进行分类，提取每个花车的颜色特征，并通过聚类有效性分析得到纱线颜色的数量。然后，从从浮点分类结果获得的颜色图案中提取颜色效果。提出了一种新的色纱布局检测方法。基于机织花样数据库对色织面料的机织花纹进行识别。对实际色织面料的实验表明，本文提出的识别系统对色织面料的结构参数检测是有效的。
In this study, an automatic recognition system based on image analysis is constructed to identify the density, the color effect, the layout of color yarns, and the woven pattern of yarn-dyed fabric. To inspect the density, first the skew angles of yarns are detected by Hough transform and then the texture and boundary information of yarns are enhanced by steering filter and graygrads image. The yarns and floats are located in the enhanced images with gray-projection method. To get the color effect, FCM algorithm is used to classify the floats with the color features extracted from each float and the number of yarn colors obtained with cluster validity analysis. The color effect is then extracted from the color pattern obtained from the float classification results. To detect the layout of color yarns, a novel method is proposed in this study. The woven pattern of the yarn-dyed fabric is recognized based on woven fabric pattern database. Experiments on actual yarn-dyed fabrics show that the recognition system proposed in this study is effective for detecting the structure parameters of yarn-dyed fabric.