Comparison of denoising methods used in fabric defects image

The image denoising is the important process of fabric defects identification and classification.This paper includes three image denoising methods,which are median value filtering method,Wiener filtering method and denoising with the wavelet thresholding.Both of 3×3 and 5×5 filters are used when median value filtering and Wiener filtering methods are implemented.The global threshold value is computed and the soft and hard thresholding methods are both executed when utilizing wavelet thresholding.By experiment and comparison,we find that the edge of fabric defects is clearer and the PSNR is improved distinctly when denoised by wavelet thresholding method,the performance of which is much better than that of median value filtering method or Wiener filtering method;the fabric defects image denoised with wavelet thresholding method can be used for features extracting and defects identification.