CNN-based minor fabric defects detection
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Clothing Science and Technology"
DOI: 10.1108/ijcst-11-2019-0177
Abstract: PurposeThe purpose of this paper is to present a novel method for minor fabric defects detection.Design/methodology/approachThis paper proposes a PETM-CNN algorithm. PETM-CNN is designed based on self-similar estimation algorithm and Convolutional Neural Network. The PE… read more here.
Keywords: fabric; fabric defects; paper; defects detection ... See more keywords
Automatic Fabric Defect Detection Method Using PRAN-Net
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DOI: 10.3390/app10238434
Abstract: 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… read more here.
Keywords: detection; fabric; fabric defects; defect detection ... See more keywords