Automatic Fabric Defect Detection Method Using PRAN-Net

Automatic Fabric Defect Detection Method Using PRAN-Net

Fabric defect detection is very important in the textile quality process. Current deep learning algorithms are not effective in detecting tiny and extreme aspect ratio fabric defects. In this paper, we proposed a strong detection method, Priori Anchor Convolutional Neural Network (PRAN-Net), for fab...

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Bibliographic Details
Main Authors: Peiran Peng, Ying Wang, Can Hao, Zhizhong Zhu, Tong Liu, Weihu Zhou
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Applied Sciences
Subjects:
fabric defect detection
deep learning
Faster R-CNN
extreme and tiny defects
priori anchor
Online Access:https://www.mdpi.com/2076-3417/10/23/8434

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