Use of fourier transform and color image processing to extract design elements of yarn‐dyed fabric

Abstract

SUMMARYIn order to weave fabric based on a yarndyed fabric sample, the information on the thread arrangement of the fabric must be obtained. In this paper, we will discuss a method for automatically extracting the design elements of yarndyed fabric that correspond to thread placement information with the objective of automating a part of the fabric design process of yamdyed fabrics. In yamdyed fabrics, the pattern on the fabric's surface is forrned by the placement of different colored warp and weft threads. Consequently, the features of the warp and weft threads are always continuous in the warp and weft directions. As a result, we show that the bandpass image obtained by filtering the fabric's surface in the spatial frequency domain with a rectangular filter restricted to the warp direction or weft direction extracts information related to the thread placement in that direction. In addition, a simple clustering preprocessing method that detects the brightness is proposed. Then it is verified that the design elements of yarndyed fabric can be extracted based on clustering where the color difference in the bandpass image is the distance. When extracting yamdyed fabric elements, these methods are not concerned with individual regions of the pattern on the fabric's surface or features of each thread but are only concerned with the placement of the colored threads that define the design elements of the yarndyed fabric. They are also provided with an efficiency not available in earlier methods.

Image Compressing Method for Checked Textile Designs by Using Distributions in the Spatial Frequency Domains

“…In particular, the placement of different colored warp and weft yarn forms patterns on the textile surface in checked textile. Therefore; the warp and weft features are always continuous in the warp and weft directions [7]. By this research, it is clear to be able to obtain a reconstructed image close to an original image by using only data on the vertical and horizontal axes in the spatial frequency domains.…”

“…In this research, we utilize the approximate equation called Gram-Charlier series of Type A [2][3]. This function f(x) is shown in equation (7). And Hr (x) is called Chebyshev-Hermite polynomials, and the following four equations are used in this research:…”

“…The reconstructed spatial frequency domains are obtained by the equation (7). We can obtain the reconstructed domains of L*, a* and b* by applying the inverse fast Fourier transform (IFFT) to the reconstructed spatial frequency domains.…”