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...

Full description

Saved in:
Bibliographic Details
Published in2012 Fifth International Symposium on Computational Intelligence and Design Vol. 1; pp. 197 - 200
Main Authors Yilin Qin, Fangling Xu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2012
Subjects
Fabric density
Fabrics
Feature extraction
Halcon
Image processing
Time frequency analysis
Wavelet analysis
Wavelet transform
Wavelet transforms
Online AccessGet full text

Cover

More Information
Summary: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.
ISBN:1467326461
9781467326469
DOI:10.1109/ISCID.2012.57