Performance of an Objective Fabric Pilling Evaluation Method

Junmin Zhang, Xungai Wang, Stuart Palmer
2010 Textile research journal  
In previous work, we established the principle of objective fabric pilling evaluation based on two-dimensional dual-tree complex wavelet transform (2DDTCWT) image reconstruction and non-linear classification using a neural network. This proof-ofprinciple work was performed using standard pilling test images. Here, we demonstrate the practical operation of the objective pilling evaluation method using a large set of real fabric pilling samples. We show that piling classification results from a
more » ... ained Multiple-Layer Perceptron neural network achieve a regression correlation of approximately 96 percent with the corresponding human expert pilling ratings.
doi:10.1177/0040517510361802 fatcat:47dgafbfwjhmlcxodhaht47744