Identifying Fabric Structures with Fast Fourier Transform Techniques

Abstract

The Fast Fourier Transform (FFT) plays a very important role in image processing and pattern recognition. Since a woven fabric consists of regular repeating units, the FFT is particularly useful for analyzing periodicity, directionality, and spacing of re peating units in the fabric. This paper describes procedures for applying FFT techniques in image processing to identify weave pattern, fabric count, yarn skewness, and other structural characteristics of woven fabrics. A color scanner is used to digitize fabric images (two-dimensional functions in a spatial domain), and a customized software package is used to apply the FFT to the images. A power spectrum image is derived from the FFT of an image, and considered a two-dimensional function in a frequency domain. Peaks in the power spectrum image stand for frequency terms of periodic elements, from which basic weave patterns (e.g., plain, twill, satin, etc.) can be rec ognized. A radial function and an angular function, derived from the power spectrum, are used to measure the coarseness and directionality of the periodic elements. By selecting power peaks in a certain direction to reconstruct the image, warp or weft elements can be extracted to facilitate fabric count and skewness measurements. Fourier filtering, that is, image filtering in the frequency domain, is used to suppress noise and to select features that have a certain range of frequencies. Fabrics with various weave patterns and yarn counts are tested using the FFT techniques.

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References

Astm D. 1910-64, Standard Test Methods for Construction Characteristics of Woven Fabrics, ASTM Annual Book, 1980.

Brigham, E.O. , The Fast Fourier Transform and Its Applications ," Prentice-Hall, Inc., NY, 1988.

Furter, R. , Evenness Testing in Yam Production, in "Manual of Textile Technology, Parts and II," The Textile Institute, Manchester, U.K., 1982.

Jain, A.K. , "Fundamentals of Digital Image Processing" Prentice-Hall, Inc., NY, 1989.

Joseph, M.L. , introductory Textile Science," Holt, Rinehart and Winston, Inc., NY, 1966.

Pratt, K.W. , "Digital Image Processing," Wiley-Interscience, NY, 1978.

Press, W.U. , Teukolsky, S.A. , Vetteding. W.T. , and Flannery, B.P. , "Numerical Recipes in C," 2nd ed., Cambridge University Press, U.K., 1992.

Russ, J.C. , "The Image Processing Handbook," CRC Press, 1993.

Sobus, J. , Pourdeyhimi, B. , Xu, B. , and Ulcay, Y. , Eval- ' uating Loss of Texture Definition in Carpets Using Mathematical Morphology: Covariance, Textile Res. J. 62, 26-39 (1992).

10.

Wood, E.J. , Applying Fourier and Associated Transforms to Pattern Characterization in Textiles, Textile Res. J. 60, 212-220 (1990).

11.

Xu, B. , Pourdeyhimi, B. , and Sobus, J. , Characterization of Fiber Crimp by Image Analysis: Definition, Algorithms and Techniques, Textile Res. J. 62, 73-80 ( 1992).