The detection for fabric defect based on two-dimensional orthogonal wavelet

In this paper, the method of orthogonal wavelet transform was used to decompose monolayer from fabric image. And the sub-images of horizontal and vertical direction are extracted to represent respectively the textures of fabric in warp and weft. Then, energy in warp and weft; variance, entropy and range of eigenvalue is calculated. And they were also compared to the normal control to determine whether there is any defect exists. Meanwhile, some typical defect forms of plain weave white cotton fabric has been detection in this paper. The experiment results show that the method is effective and feasible.