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The improved method in fabric image classification using convolutional neural network

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Abstract

Wool fabric is an important material in the weaving sector despite its disadvantages, such as the difficulty of classifying and storing pattern information and identifying when this information needs to be reused. With the deep learning method, these problems can be ingeniously solved. Therefore, the use of convolutional neural networks (CNNs) in artificial intelligence to extract texture features is a helpful and vital approach to resolving fabric pattern classification problems in fabric traceability and management. In this paper, we combined the unique advantages of Inception and ResNet to improve the feature extractor. After training the new CNN with fabric images, the texture features are well extracted and the fabric categories are properly classified through optimized classifiers. Different data are employed to confirm the generalization and robustness of the model, including training with different image sizes and small training sets. The proposed network model outperforms the classic deep learning classification algorithms in both accuracy and speed.

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Data Availability

The address of FID dataset is https://github.com/rhrobot/Fabric-Image-Data

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Acknowledgements

Research for this article was supported by the Science and Technology Research Plan of Anhui Province, China, grant number 202003a05020015.

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Authors and Affiliations

  1. School of Mechatronics Engineering, Harbin Institute of Technology, Heilongjiang, 150001, Harbin, China

    Ruihao Liu

  2. Internet of Things Engineering, Jiangnan University, Jiangsu, 214122, Wuxi, China

    Ruihao Liu & Qigao Fan

  3. Artificial Intelligence Research Institute, HRG International Institute(Hefei) of Research and Innovation, Susong Road, Hefei, 230601, Anhui, China

    Zhenzhong Yu, Qiang Sun & Zhongsheng Jiang

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  1. Ruihao Liu
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Correspondence to Zhenzhong Yu.

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Ruihao Liu, Qigao Fan, Qiang Sun and Zhongsheng Jiang contributed equally to this work.

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Liu, R., Yu, Z., Fan, Q. et al. The improved method in fabric image classification using convolutional neural network. Multimed Tools Appl 83, 6909–6924 (2024). https://doi.org/10.1007/s11042-023-15573-w

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