Textile defect detection based on improvement wavelet decomposes

The improved method was put forward,using the 2-D discrete wavelet decomposition and extracting the effective information from the pictures.Then characteristics were obtained by relevant processing,and the LMBP neural network was input to carry on the training.The experimental results indicated that it could recognize and localize accurately,carry on the textile defect detection effectively.