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Weft-inclination is the phenomenon of the weaving fabric that the weft threads cannot keep perpendicular to the warp ones due to the internal stress, which may affect the quality and aesthetic of the production. Considering the existing methods are insufficient to detect weft-inclination on denim fabric efficiently and accurately, this work proposed a Hough-Transform-based method addressing weft-inclination detection. Specifically, to make the best use of Hough transform and benefit the weft-inclination detection from the weft side of denim fabric, a method combined with several stable algorithms has been raised to extract the key-points and facilitate redundant information excluding and error narrowing. Parameters optimization also be conducted on the Hough transform algorithm to make the proposed algorithm more efficient. And during that, 4 sets of different twill denim fabric images have been provided specifically for this work and each of them has 3000 images with 400 marked ones, which can guarantee the accuracy and effectiveness of the result. Experimental results indicate that the proposed method is not only robust in generalization but also stable and practical in weft-inclination detection, the error can be controlled within 0.2 degrees and the proposed algorithm can monitor the change of the weft-inclination accurately and efficiently.

Automatic weft-inclination detection on Denim fabric using Hough transform