Abstract:

To study the objective evaluation of garment wrinkling during actual wear, 15 woven fabrics samples were chosen to make into pants for conducting actual wear, then the wrinkled images were subjected to subjective evaluation, and detailed coefficient standard deviations were extracted based on the wavelet analysis technology, which were compared with the subjective evaluation and wrinkle recovery angle. The results show that good agreement exists between detailed coefficient standard deviations of the wavelet analysis and the subjective evaluation. Standard deviation of detail coefficient at two level wavelet decomposition can be extracted as an objective index to replace subjective evaluation to save time and cost. Fabric wrinkling in the warp contributes most to wrinkling during wear, with the bias the second and weft the least. Hence, when the wrinkle recovery angle is used, it is advised that wrinkle recovery angle in the bias be increased, and different weight be given to the warp and weft direction so as to raise the agreement of the results and actual wear.

Key words: fabric wrinkling, actual wear, wrinkle recovery angle, wavelet analysis, subjective evaluation