Yarn-Dyed Fabric Defect Detection Based On Autocorrelation Function And GLCM

Yarn-Dyed Fabric Defect Detection Based On Autocorrelation Function And GLCM

In this study, a new detection algorithm for yarn-dyed fabric defect based on autocorrelation function and grey level co-occurrence matrix (GLCM) is put forward. First, autocorrelation function is used to determine the pattern period of yarn-dyed fabric and according to this, the size of detection w...

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Bibliographic Details
Main Authors: Zhu Dandan, Pan Ruru, Gao Weidong, Zhang Jie
Format: Article
Language:English
Published: Sciendo 2015-09-01
Series:Autex Research Journal
Subjects:
autocorrelation function
defect detection
euclidean distance
glcm
yarn-dyed fabric
Online Access:https://doi.org/10.1515/aut-2015-0001

Internet

https://doi.org/10.1515/aut-2015-0001

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