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- W2767430062 abstract "Abstract Fabric defect detection is vital to fabric quality control. In recent two decades, although various detection techniques have been proposed, these techniques are limited to fabrics with solid colors in controlled environment. In other words, most of them cannot be applied to fabrics with different patterns under controlled environment. This chapter presents a novel fabric defect detection technique, called nonlocal self-similarity-based spare coding (NSSSC), which can effectively detect defects on fabrics with solid color with uneven illumination distribution, which always happen in real-life manufacturing environment, and stripe pattern. The experimental results demonstrated that the NSSSC outperforms several state-of-the-art fabric defect detection methods" @default.
- W2767430062 created "2017-11-17" @default.
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- W2767430062 date "2018-01-01" @default.
- W2767430062 modified "2023-10-16" @default.
- W2767430062 title "Computer vision techniques for detecting fabric defects" @default.
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- W2767430062 doi "https://doi.org/10.1016/b978-0-08-101217-8.00003-8" @default.
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