Twist Detection Based on Machine Vision

被引：0
|
作者：
Dan, Yongping [1 ]
Liu, Wei [1 ]
Jiang, Chenglong [1 ]
Ge, Yifei [1 ]
Li, Zhuo [1 ]
机构：
[1] Zhongyuan Univ Technol, Sch Elect Informat, 41 Zhongyuan Rd, Zhengzhou 450007, Peoples R China
来源：
2019 INTERNATIONAL CONFERENCE ON ADVANCED MECHATRONIC SYSTEMS (ICAMECHS) | 2019年
关键词：
yarn twist; linear array CCD; median filtering; Fourier transform;
D O I：
10.1109/icamechs.2019.8861679
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Twist is an important index of yarn, and it is one of the main criteria to evaluate yarn grade. In order to detect the twist more accurately, a twist detection method based on machine vision is proposed, this method through the linear CCD camera to capture images of the yarn. The image is filtered by median filter and Fourier transform in turn. The image after Fourier transform is filtered by Gauss low-pass filter, and then the image is filtered by Gauss low-pass filter. Fourier inverse transform is used to obtain the contour image of the image, finally will obtain the image binarization processing, image can clearly distinguish each twist.
引用
收藏
页码：311 / 314
页数：4
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