Yarn apparent evenness detection based on L0 norm smoothing and the expectation maximization method

被引:4
|
作者
Zhang, Huanhuan [1 ,2 ,3 ]
Zhu, Houchun [1 ,2 ]
Yan, Kai [1 ,2 ]
Jing, Junfeng [1 ,2 ]
Su, Zebin [1 ,2 ]
机构
[1] Xian Polytech Univ, Sch Elect & Informat, 19 South Rd, Xian, Peoples R China
[2] Xian Polytech Univ, Branch Shaanxi Artificial Intelligence Joint Lab, Xian, Peoples R China
[3] Northwestern Polytech Univ, Sch Automat, Xian, Peoples R China
关键词
Yarn apparent evenness; L0 smoothing method; expectation maximization segmentation algorithm; morphological opening operation;
D O I
10.1177/00405175221119838
中图分类号
TB3 [工程材料学]; TS1 [纺织工业、染整工业];
学科分类号
0805 ; 080502 ; 0821 ;
摘要
During spinning, knitting and weaving processes, the yarn apparent evenness is an important factor, which determines the quality of subsequent spinning production and fabric performance. This paper presents a powerful method which is based on L0 norm smoothing and the expectation maximization method to detect the yarn apparent evenness. The L0 norm smoothing method is first applied to remove the noise and enhance the yarn apparent evenness diameter features. Then, the expectation maximization method and the morphological opening operation were used to obtain the yarn evenness. Finally, we calculated the yarn apparent evenness diameter and the coefficient of variation of the evenness of the yarn apparent diameter. Compared with the capacitive evenness testers, the Otsu detection method and the fuzzy C-means detection method, our method can accurately detect the yarn apparent evenness better than the selected state-of-the-art methods.
引用
收藏
页码:422 / 433
页数:12
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