Automatic Detection of the Layout of Color Yarns for Yarn-dyed Fabric via a FCM Algorithm
Automatic Detection of the Layout of Color Yarns for Yarn-dyed Fabric via a FCM Algorithm
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DOI：
10.1177/0040517509355349
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发表时间：
2010-07
影响因子：
2.3
通讯作者：
R. Pan;Weidong Gao;Jihong Liu;Hongbo Wang
中科院分区：
文献类型：
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作者：
R. Pan;Weidong Gao;Jihong Liu;Hongbo Wang
在色织织物分析过程中，需要检测色纱的两种颜色信息：（1）色纱的颜色个数;（2）色纱的排列方式。传统的检测方法费时费力。提出了一种基于图像分析的自动识别方法。采用模糊C均值聚类（FCM）算法对平板扫描仪采集的色织织物图像进行分析。通过对基于FCM算法的色织织物图像进行分析，得出通过聚类有效性分析可以得到纱线颜色的个数，通过Hough变换可以自动检测纱线颜色的排列。对两种实际织物的实验表明，本文提出的方法能够有效地检测色织织物中纱线的色数和色纱的排布。
In the process of analyzing the yarn-dyed fabric, two kinds of color information about color yarns should be detected: (1) the number of yarn colors; (2) the layout of the color yarns. The traditional detection methods are time-consuming and labor-intensive. An automatic method based on image analysis is proposed in this study. The image of yarn-dyed fabric captured with a flat scanner is analyzed by a fuzzy C-means clustering (FCM) algorithm. By the analysis of the image of the yarn-dyed fabric based with the FCM algorithm, we can conclude that the number of yarn colors can be obtained with cluster validity analysis, and the layout of color yarns can be inspected automatically with the help of Hough transform. Experiments on two actual fabrics show that the approach proposed in this study is effective for detecting the number of yarn colors and the layout of color yarns in the yarn-dyed fabric.