SIMULATION AND RECOGNITION OF COMMON FABRIC DEFECTS

Abstract: This contribution deals with a procedure of recognition of defects occurred in woven fabric. Fabric as a directional texture is characterised with high-energy frequency components, which are distributed along the straight lines in the Fourier domain image. A set of seven features based on the first-most significant frequency can be extracted from these images. The correlation between the features corresponding to window with no defective structure and features obtained from sliding window is computed. If the value is smaller then the set value the window is considered as the window contains defect.

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