Performance of an objective fabric pilling evaluation method
Version 2 2024-06-05, 00:37Version 2 2024-06-05, 00:37
Version 1 2014-10-28, 09:06Version 1 2014-10-28, 09:06
journal contribution
posted on 2024-06-05, 00:37authored byJ Zhang, X Wang, S Palmer
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-of-principle 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 trained multiple-layer perceptron neural network achieve a regression correlation of approximately 96% with the corresponding human expert pilling ratings.