Recognition the Parameters of Slub-yarn Based on Image Analysis
Recognition the Parameters of Slub-yarn Based on Image Analysis
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DOI：
10.1177/155892501100600104
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发表时间：
2011-03
影响因子：
2.9
通讯作者：
R. Pan;Weidong Gao;Jihong Liu;Hongbo Wang
中科院分区：
文献类型：
--
作者：
R. Pan;Weidong Gao;Jihong Liu;Hongbo Wang
本文提出了一种基于图像分析的竹节纱参数识别方法。用YG381型条干均匀度仪将竹节纱包裹在黑板表面。采用高分辨率扫描仪采集纱线图像。采用灰度拉伸和阈值化方法对竹节纱图像进行预处理。通过将粗节从不同宽度的基纱上分离出来，可以得到粗节长度、粗节间距和粗节幅度。通过对竹节长度和竹节间距的列表，可以确定竹节纱的周期规律。然后通过一维傅立叶变换识别粗节的周期。实验结果表明，该方法能有效地识别竹节纱的参数，取得了满意的效果。
In this study, a new method for recognizing the parameters of slub-yarn based on image analysis has been proposed. The slub yarn was wrapped on the surface of the black board by YG381 Yarn Evenness Tester. A high resolution scanner was used to acquire the yarn image. Gray stretching and thresholding were carried out to preprocess the image of slub yarn. By separating the slubs from base yarn with different widths, the slub length, slub distance and slub amplitude can be obtained. With the lists of slub length and slub distance, the periodicity rule of slub yarn can be determined. The period of the slubs then will be identified by 1D-Fourier transform. The experiment indicated that the method can identify the parameters of slub yarn with satisfactory results.