Study on the detection of yarn hairiness morphology based on image processing technique

Yarn hairiness is an important factor that affects the textile appearance, feel and usability, which is also very crucial to the quality assessment of the yarns. This paper presents a new detection method of yarn hairiness based on image procession technique to solve the disadvantages of low efficiency and low precision existed in current detection methods. This method firstly obtains the yarn image using digital camera, then extracts the yarn skeleton by image processing technology, calculates the yarn length by the minimum enclosing rectangle (MER) and calculates the hairiness length by pixel search method, finally gets the Hairiness Index by the proportional relationship between the actual length and pixel length of the reference object. The experiment result indicates that the efficiency and precision of yarn hairiness detection is improved.