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Automatic Inspection of Woven Fabric Density of Solid Colour Fabric Density by the Hough Transform

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Warianty tytułu
PL
Automatyczne badanie gęstości tkanin jednokolorowych z wykorzystaniem transformaty Hough’a
Języki publikacji
EN
Abstrakty
EN
When analysing the colourcolours in woven fabrics images, the fabrics are suggested to be divided into three categories: solid colour fabrics, single-system-mélange colour fabrics and double-system-mélange colour fabrics. Corresponding to the classification, the inspection of woven fabric density can be also divided into three stages. A method of inspecting the density of solid colourcolour fabrics is discussed in detail in this study. The Hough transform is used to detect the skew angles of warp and weft yarns, and then the pixels in the fabric image are projected along the skew-direction. Warp and weft yarns can be segmented successfully by locating the true minimum values which indicate the interstices between the yarns. The density of solid colourcolour fabric can be inspected by counting the yarns in a unit length in the fabric image.
PL
Analizę kolorów w obrazach tkanin można podzielić na trzy kategorie: tkaniny jednobarwne oraz z jedno i dwu systemowego melanżu. Artykuł odnosi się do przypadku pierwszego. Do analizy obrazu zastosowano transformatę Hough’a. Położenie przędz osnowowych i wątkowych jest scharakteryzowane przez rzeczywiste odległości między nitkami oraz ilość nitek przypadających na jednostkę długości.
Rocznik
Strony
46--51
Opis fizyczny
Bibliogr. 12 poz., tab., rys.
Twórcy
autor
  • Key Laboratory of Eco-Textiles, Ministry of Education, School of Textile and Clothing, Jiangnan University, Wuxi, Jiangsu, China
autor
  • Key Laboratory of Eco-Textiles, Ministry of Education, School of Textile and Clothing, Jiangnan University, Wuxi, Jiangsu, China
autor
  • Key Laboratory of Eco-Textiles, Ministry of Education, School of Textile and Clothing, Jiangnan University, Wuxi, Jiangsu, China
autor
  • Key Laboratory of Eco-Textiles, Ministry of Education, School of Textile and Clothing, Jiangnan University, Wuxi, Jiangsu, China
Bibliografia
  • 1. Xu B., Identifying Fabric Structures with Fast Fourier Transform Techniques. Textile Research Journal, Vol 66, No 8 1996, pp. 496-506.
  • 2. Hosseini Ravandi S. A., Toriumi K., 1995. Fourier Transform Analysis of Plain Weave Fabric Appearance, Textile Research Journal, Vol 65, No 11, 1995, pp. 676-683.
  • 3. Lin J. J., Applying a Co-occurrence Matrix to Automatic Inspection of Weaving Density for Woven Fabrics, Textile Research Journal, Vol 72, No 6, 2002, pp. 486-490.
  • 4. Pan R. R., Gao W. D., High-precision Identification of Woven Fabric Density via Image Processing, Journal of Textile Research, Vol 29, No 11, 2008, pp. 128-131.
  • 5. Kang T. J., Kim C. H., Oh K. W., Automatic Recognition of Fabric Weave Patterns by Digital Image Analysis, Textile Research Journal, Vol 69, No 2, 1999, pp. 77-83.
  • 6. Huang C. C., Liu S. C., Yu W. H., Woven Fabric Analysis by Image Processing. Part I: Identification of Weave Patterns, Textile Research Journal, Vol 70, No 6, 2000, pp. 481-485.
  • 7. Jeon B. S., Bae J. H., Suh M. W., Automatic Recognition of Woven Fabric Patterns by an Artificial Neural Network, Texile Research Journal, Vol 73, No 7, 2003, pp. 645-650.
  • 8. Kuo C.-F. J., Shih C. Y., Lee J. Y., Automatic Recognition of Fabric Weave Patterns by a Fuzzy C-Means Clustering Method, Textile Research Journal, Vol 74, No 2, 2004, pp. 107-111.
  • 9. Pan R. R., Gao W. D., Liu J. H., Wang H. B., Skew Rectification for Yarn-dyed Fabric via FFT in HSL Colour Space. IEEE, World Congress on Software Engineering, 2009, pp. 481-485.
  • 10. Hough P. V. C, 1962. Methods and Means for Recognizing Complex Patterns., U.S. Patent 3,069,654.
  • 11. Llingworth J., Kittler J., A Survey of The Hough Transform. Computer Vision, Graphics, and Image Processing, Vol 44, 1988, pp. 87-116.
  • 12. Kuo C.-F. J., Shih C. Y., Lee J. Y., Repeat Pattern Segmentation of Printed Fabrics by Hough Transform Method, Textile Research Journal, Vol 75, No 11, 2005, pp. 779-783.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d3447664-6da8-4b7b-81dd-4e9f2d6c051d
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