Defects Identification for Textile Glove Based on Depth Target Detection
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-6324-6_57
Reference14 articles.
1. Yapi, D., Allili, M.S., et al.: Automatic fabric defect detection using learning-based local textural distributions in the contourlet domain. IEEE Trans. Autom. Sci. Eng. (2017). https://doi.org/10.1109/TASE.2017.2696748
2. Hamdi, A.A., Sayed, M.S., Fouad, M.M., et al.: Unsupervised patterned fabric defect detection using texture filtering and K-means clustering. In: International Conference on Innovative Trends in Computer Engineering, pp. 130–144 (2018)
3. Li, M., Wan, S., Deng, Z., et al.: Fabric defect detection based on saliency histogram features. Comput. Intell. (2019). https://doi.org/10.1111/coin.12206
4. Arnia, F., Munadi, K.: Real time textile defect detection using GLCM in DCT-based compressed images. In: International Conference on Modeling. IEEE (2015)
5. Ismail, N., Zain, J.M., Hai, T.: Fabric authenticity method using fast Fourier transformation detection. In: 2011 International Conference on Electrical, Control and Computer Engineering (INECCE). IEEE (2011). https://doi.org/10.1109/INECCE.2011.5953882
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