So far, texture analysis technology has been used in many applications to replace manual to detect material defects, including carpets, automotive coatings and the most commonly used textiles. Dewaele et al. [31] used adaptive filters to detect defects in points and lines in textile images. Chetvenikov [32] extracts texture features by filtering, and then uses a simple window difference operator to detect the defect boundary of the texture. Chen and Jain [33] used structural methods to detect defects, first extracting the entire frame of the texture, and then detecting defects by statistically analyzing their anomalies. Bodnarova [34] uses Gabor filter bank to detect many defects in textiles.
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