On-Loom Fabric Defect Inspection Using Contact Image Sensors and Activation Layer Embedded Convolutional Neural Network

On-Loom Fabric Defect Inspection Using Contact Image Sensors and Activation Layer Embedded Convolutional Neural Network

Malfunctions on loom machines are the main causes of faulty fabric production. An on-loom fabric inspection system is a real-time monitoring device that enables immediate defect detection for human intervention. This dissertation presented a solution for the on-loom fabric defect inspection, includi...

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Bibliographic Details
Main Author: Ouyang, Wenbin
Other Authors: Yuan, Xiaohui
Format: Others
Language:English
Published: University of North Texas 2018
Subjects:
on-loom inspection
contact image sensor
activation layer
fabric defects
convolutional neural network
Textile fabrics > Quality control.
Textile fabrics > Defects.
Textile industry > Quality control.
Image converters.
Neural networks (Computer science)
Online Access:https://digital.library.unt.edu/ark:/67531/metadc1404537/

Internet

https://digital.library.unt.edu/ark:/67531/metadc1404537/

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