A New Method to Evaluate Yarn Appearance Qualities Based on Machine Vision and Image Processing

A New Method to Evaluate Yarn Appearance Qualities Based on Machine Vision and Image Processing

For improving the efficiency, flexibility and robustness of yarn defect system, a new method is proposed to evaluate the quality of yarn by testing the yarn diameter, defects and hairiness based on machine vision and image processing technology. Firstly, the diameter image processing unit (DIPU) is...

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Bibliographic Details
Main Authors: Zhisong Li, Ping Zhong, Xin Tang, Yu Chen, Shu Su, Tianbao Zhai
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Yarn quality evaluation
diameter image processing unit (DIPU)
Poisson matting
connectivity classifier
hairiness extraction
yarn defects statistics
Online Access:https://ieeexplore.ieee.org/document/8990137/

Internet

https://ieeexplore.ieee.org/document/8990137/

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