Robust low-rank decomposition of multi-channel feature matrices for fabric defect detection
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6483-6
Abstract: Fabric defect detection plays an important role in the quality control of textile products. Most existing defect detection techniques adopted traditional pattern recognition methods, which were lacking adaptability and presented the undesirable detection accuracy. In… read more here.
Keywords: detection; defect detection; multi channel; channel feature ... See more keywords
A visual long-short-term memory based integrated CNN model for fabric defect image classification
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.10.067
Abstract: Abstract Fabric defect classification is traditionally achieved by human visual examination, which is inefficient and labor-intensive. Therefore, using intelligent and automated methods to solve this problem has become a hot research topic. With the increasing… read more here.
Keywords: term memory; visual long; memory; fabric defect ... See more keywords
Fabric Defect Detection via Low-Rank Decomposition With Gradient Information
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2939843
Abstract: Low-rank decomposition model has been widely used in fabric defect detection, where a matrix is decomposed into a low-rank matrix representing the defect-free region (background) of the image and a sparse matrix identifying the defective… read more here.
Keywords: rank decomposition; low rank; fabric defect; rank ... See more keywords
A Fabric Defect Detection Method Based on Deep Learning
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DOI: 10.1109/access.2021.3140118
Abstract: Fabric defect detection is a challenging task in the fabric industry because of the complex shapes and large variety of fabric defects. Many methods have been proposed to solve this problem, but their detection speed… read more here.
Keywords: fabric defect; structure; defect detection; improved yolov4 ... See more keywords
A Lightweight Detector Based on Attention Mechanism for Fabric Defect Detection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3264262
Abstract: Defects on fabric surfaces are difficult to identify owing to unsuitable computing devices, highly complex algorithms, small size, and high degree of integration with the fabric. To this end, this study proposes a lightweight fabric… read more here.
Keywords: attention mechanism; detection; fabric defect; defect detection ... See more keywords
Fabric Defect Detection via Un-Decimated Wavelet Decomposition and Gumbel Distribution Model
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Engineered Fibers and Fabrics"
DOI: 10.1177/155892501801300103
Abstract: This paper investigates an unsupervised approach for fabric defect detection using un-decimated wavelet decomposition and simple statistical models. A novel data fusion scheme is proposed to merge the information from the different channels into a… read more here.
Keywords: defect detection; wavelet decomposition; decimated wavelet; gumbel distribution ... See more keywords
Fabric defect detection based on deep-handcrafted feature and weighted low-rank matrix representation
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Engineered Fibers and Fabrics"
DOI: 10.1177/15589250211008453
Abstract: In the process of textile production, automatic defect detection plays a key role in controlling product quality. Due to the complex texture features of fabric image, the traditional detection meth... read more here.
Keywords: detection; fabric defect; defect detection; deep handcrafted ... See more keywords
Fabric defect detection based on transfer learning and improved Faster R-CNN
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Engineered Fibers and Fabrics"
DOI: 10.1177/15589250221086647
Abstract: Fabric defect detection is an important quality inspection process in the textile industry. A fabric defect detection system based on transfer learning and an improved Faster R-CNN is proposed to solve the problems of low… read more here.
Keywords: fabric defect; faster cnn; defect detection; transfer learning ... 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