ZHAO P X, FENG P, OU J X,et al.Motion parameter identification of yarn based on binocular stereo vision[J].Journal of Henan Polytechnic University(Natural Science) ,2023,42(3):103-110.

doi:10.16186/j.cnki.1673-9787.2021110028

Received:2021/11/05

Revised:2021/12/13

Published:2023/05/25

Motion parameter identification of yarn based on binocular stereo vision

ZHAO Pengxiang1, FENG Pei1,2, OU Jianxin1, LI Shujia1,2, WANG Yongxing1,2

1.College of Mechanical Engineering，Donghua University，Shanghai  201620，China;2.Engineering Research Center of Advanced Textile Machinery of Ministry of Education，Donghua University，Shanghai  201620，China

Abstract:Aiming at the problems of low accuracy and no interference of measuring yarn motion parameters for traditional contact method，a binocular stereo vision method was proposed：Images were collected by binocular high-speed camera，stored by the developed software of binocular high-speed synchronous frame capture；The binocular camera was calibrated by high precision calibration board；The yarn test point was detected by sliding window and intersection；After polar correction，the depth map was calculated by stereo matching algorithms of Block Matching，Semi-Global Block Matching and improved SGBM algorithm.The spatial location information of yarn test point was obtained by parallax principle.The yarn motion parameters were obtained with the three-dimensional coordinate and image storage time，the average error of displacement was 0.132 mm.The experimental results showed that the yarn motion parameters were in good agreement with the actual situation.

Key words:binocular stereo vision;yarn motion parameter;non-contact measurement;binocular calibration;polar correction;improved SGBM algorithm

基于双目立体视觉的纱线运动参数识别_赵鹏翔.pdf