An objective fabric pilling evaluation based on wavelet transform and Gabor filter

Abstract

A new objective fabric pilling detection method is proposed for monochrome fabric without pattern. Firstly, through wavelet multi-resolution decomposition and reconstruction, remove the high-frequency noise such as fluff which is significantly different from the size of pills and low-frequency noise such as uneven illumination. After wavelet multi-resolution decomposition of fabric image, through analyzing the energy change law between each wavelet decomposition layer, and then the fabric is judged whether it is rough or fine texture. Then, according to the different color characteristics of fine texture and rough texture fabrics, the even symmetry two-dimensional Gabor filter with smoothing effect and the odd symmetry two-dimensional Gabor filter with edge extraction ability in different directions are selected for texture removal. Finally, fabric pilling parameters are extracted to realize fabric pilling grade evaluation. The main contribution of this method is: on the premise of removing the noise such as uneven illumination and fluff, on the basis of considering the different color change laws of fine texture and rough texture, using the directionality of fabric texture and the randomness of pills direction to effectively remove the texture noise, so as to improve the accuracy of fabric pilling grade evaluation.