Abstract: The fabric image was firstly converted from the spatial domain to the frequency domain using the Fourier transform technique. And enhance image quality by using image pre-processing tools of contrast stretching and Gaussian low-pass filtering. With the threshold processing techniques, the feature points containing the fabric density information were obtained from the above spectrum of the fabric. And at last, the woven fabric density was identified from the feature points coordinates. The experimental results show that, the presented method worked well for the identification of the warp and weft density of Mihara plain fabric with a relative error of 2.8%.

Key words: image processing, fabric image, Fourier transform, threshold processing, fabric density of warp and weft