Automated fabric inspection through convolutional neural network: an approach

Author:

Thakur Rashmi,Panghal DeepakORCID,Jana Prabir,Rajan ,Prasad Ankit

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference31 articles.

1. Barua S, Patil H, Desai PD, Arun M (2020) Deep learning-based smart colored fabric defect detection system. In: Iyer B, Rajurkar A, Gudivada V (eds) Applied computer vision and image processing advances in intelligent systems and computing. Springer, Singapore

2. USTER, “Fabric Inspection,” [Online]. https://www.uster.com/en/instruments/fabric-inspection-1/. Accessed 16 April 2021

3. Ngan HYT, Pang GK, Yung NH (2011) Automated fabric defect detection—a review. Image Vision Comput 29:442–458

4. Rasheed A, Zafar B, Rasheed A, Ali N, Sajid M, Dar SH, Habib U, Shehryar T, Mahmood MT (2020) Fabric defect detection using computer vision techniques: a comprehensive review. Math Probl Eng. https://doi.org/10.1155/2020/8189403

5. Czimmermann T, Ciuti G, Milazzo M, Chiurazzi M, Roccella S, Oddo CM, Dario P (2020) Visual-based defect detection and classification approaches for industrial applications—a SURVEY. Sensors 20(5):1–25

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