Analysis and Research of the Fabric Density Based on the Wavelet Transform

The multiple layers decomposition and reconstruction on the textile images by wavelet transform information about the warp and weft in the fabrics is obtained, and then image feature extraction, which makes it feasible for the detection of texture density. with this new technique, the fabrics images are segmented and restored through Halcon, after binarization and smoothing processing, images have a clear warp and weft, and then accurately get the density of fabric. the experimental results show that the method is feasible, stable, and had the desired results.