Abstract:

The fluff content on the surface of fabric is detected by manual method, which is low in efficiency and accuracy. Fro this reason, a set of detecting system of fabric surface fluff rate was developed based on machine vision and image processing technology. The detection principle of the fabric surface fluff rate was introduced including the mathematical model, the detection algorithm and the method for determining threshold value, and introduced hardware and software composition of the fabric surface fluff rate detecting system. The surface fluff rate of five kinds of fabrics was detected by the system, and the results were compared with the artificial test results. The results show that the detecting system can efficiently determine the fluff rate of the fabric surface and has a high pesitive correlation with the artificial test results. The system repeat detection error is between 1.18% and 7.25%, which can meet the fabric surface fluff rate detection needs.

Key words: fabric surface fluff rate, vision machine, image analysis, fluff rate detection system