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Application of the image analysis technique for textile identification

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Computer image analysis techniques used for identifying textile products, especially linear textile products, are presented in this paper, together with a brief review of the historical development of these methods. Automatic and semi-automatic image correction methods are described, which are often applied for identification of linear textile products, and can also be used to identify spliced yarn-end connections.
Rocznik
Strony
40--48
Opis fizyczny
Bibliogr. 47 poz.
Twórcy
autor
  • Technical University of Bielsko-Biała Institute of Textile Engineering and Polymer Materials, Poland
  • Technical University of Bielsko-Biała Institute of Textile Engineering and Polymer Materials, Poland
Bibliografia
  • 1. Woźnicki, J. ‘Podstawy techniki przetwarzania obrazu’, Wydawnictwa Komunikacji i Łączności, Warszawa 1996r.
  • 2. www.corel.com
  • 3. Zhang Y.F., Bresee, R. R. ‘Fabrik Detection and Classification Using Image Analysis’, Textile Research Journal, 65, 1, 1995, pp.1-9.
  • 4. Katsaggelos A. K. (ed.), Digital Image Restoration. Springer-Verlag, Berlin 1991.
  • 5. Górkiewicz-Gulwas, H., Woźnicki, J., ‘Contemporary significance of the ‘image technique’ notion and its relation to other notions connected with them (in Polish)’, Kwartalnik Elektroniki i Telekomunikacji, 41, 1995, pp.131.
  • 6. Cybulska, M., ‘Analysis of Warp Destruction in the Process of Weaving Using the System for Assessment of the Yarn Structure’, Fibres & Textiles in Eastern Europe, vol. 5, No 4., 1997, pp. 68 – 72.
  • 7. Pohle E., Interlaboratory Test for Wool Fineness Using the PiMc.’, J. Testing Eval., 3, 1975, pp. 24-26.
  • 8. Berlin J., Worley S., Ramey H., ‘Measuring the Cross-Sectional Area of Cotton Fibers with an Image Analyzer’, Textile Research Journal, 51, 1981, pp. 109-113.
  • 9. Thibodeaux D., Evans J., ‘Cotton Fiber Maturity by Image Analysis’, Textile Research Journal, 56, 1986, pp. 130-139.
  • 10. Watanabe A., Kurosaki S., Konoda F. ‘Analysis of Blend Irregularity in Yarns Using Image Processing’, Textile Research Journal, 62, 1992, pp. 729-735.
  • 11. Zhao W., Johnson N., Willard A., ‘Investigating Wool Fiber Damage by Image Analysis’ Textile Research Journal, 56, 1986, pp. 464-466.
  • 12. Żurek W., Krucińka I., Adrian H. ‘Distribution of Component Fibers on the Surface of Blend Yarns’ Textile Research Journal, 52, 1982, pp. 473-478.
  • 13. Wood E. ‘Applying Fourier and Associated Transforms to Pattern Characterization in Textiles’, Textile Research Journal, 60, 1991, pp. 212-220.
  • 14. Wu Y., Pourdeyhimi B., Spivak M. ‘Texture Evaluation of Carpets Using Image Analysis’ , 61, 1991, pp. 407-419.
  • 15. Huang X., Bresee R., ‘Characterizing Nonwoven Web Structure Using Image Analysis Techniques’, INDA, 5, 1993, pp. 143 – 21.
  • 16. Zhang Y. F., Bresee R.R., ‘Fabric Defect Detection and Classification Using Image Analysis’, Textile Research Journal, 65, 1995, pp. 1 – 9.
  • 17. Cybulska M., ‘Assessing Yarn Structure with Image Analysis Methods’, Textile Research Journal, 69, 1999, pp.369-373.
  • 18. Masajtis J., Cybulska M., ‘Computer estimation of the thread twist’ (in Polish), Proceedings of the IMTEX’ 95 International Scientific Conference, Technical University of Łódź, 22 – 23 May 1995.
  • 19. Masajtis J., ‘Thread Image Processing in the Estimation of Repetition of Yarn Structure’, Fibres & Textiles in Eastern Europe, vol. 10, No. 4, 1997, pp.68-72.
  • 20. Krucińska I., Kruciński S., ‘Evaulating Fibrous Architecture of Nonwovens with Computer-Assigned Microscopy’, Textile Research Journal, 69, 1999, pp. 363-369.
  • 21. Kopias K., Mielicka F., Stempień Z., ‘An attempt to estimate spliced yarn using computer image analysis’ (in Polish’, IMTEX’ 98 International Scientific Conference, Technical University of Łódź, June 1998.
  • 22. Krucińska I., Graczyk M., ‘Review of selected methods of image analysis used for quality estimation of fibres and yarns (in Polish)’, Proceedings of the 2nd Scientific Conference of the Textile faculty of the Technical University of Łódź, 1999, J-22, pp. 5 – 8.
  • 23. Materka A., ‘Elementy cyfrowego przetwarzania i analizy obrazów’ PWN, Warszawa 1991.
  • 24. Jurasz J., ‘Estimation of the woven fabric structure during the weaving process (in Polish)’, Przegląd Włókienniczy, No. 6, 1994, pp.235 – 237.
  • 25. Jurasz J., ‘Application of the stereophotogrammatry method for identification of structure distortions of raw fabrics’ (in Polish), Przegląd Włókienniczy, No. 7, 1994, pp.269 – 274.
  • 26. Tadeusiewicz R., Korohoda P., ‘Komputerowa analiza i przetwarzanie obrazów’, Wydawnictwo Fundacji Postepu Telekomunikacji , Kraków 1997. pp. 243-265.
  • 27. Perzyna M. Integrated estimation method of geometrical and mechanical properties of knitted fabrics by a system computer image analysis (in Polish). Ph.D. thesis, Technical University of Łódź, Branch in Bielsko-Biała, 2000.
  • 28. Bissman D., ‘Knotfree – Yarn joins by splicing’, Int. Textile Bull. Spinning, No. 3, 1981.
  • 29. Mashaly, R., Helw, E. El-Aki, K., ‘Factors Affecting Spliced Yarn Quality’, India. Textile J. Journal, 8, 1990, pp. 60-64.
  • 30. Cheng K.P.S., H..L.. Lam H.L., ‘Physical Properties of Pneumatically Spliced Cotton Ring Spun Yarns’ – Textile Research Journal, 70, 2000, pp. 1053-1057.
  • 31. Cheng K.P.S., H..L.. Lam H.L., ‘Strength of Pneumatic Spliced Polyester/Cotton Ring Spun Yarns’, Textile Research Journal, 70, 2000 pp. 243-246.
  • 32. Cheng K.P.S., Chan, K.K., How Y.L. and Lam H. L. I., ‘Spliced Yarn Qualities-Breaking Strength and Flexural Rigidity of Spliced Yarns’, Textile Asia 5, 1997, pp.45-47.
  • 33. Drobina R., Machnio M., ‘Estimation of the properties of spliced combed woollen yarn-ends’ (in Polish), Przegląd Włókienniczy i Technik Włókienniczy, vol. 54, No. 10, 2000, pp.3 –7.
  • 34. Drobina R., Machnio M., ‘Visual estimation of spliced combed woollen yarn-ends’ (in Polish), Przegląd Włókienniczy i Technik Włókienniczy, vol. 55, No. 1, 2001, pp. 12 – 14.
  • 35. Gebald G., ‘Splicing technology in auto-winding’, Textile Month, 7,1982.
  • 36. Kaushik R.C.D., Hari P.K., ‘Performance of spliced yarn in warping and weaving’, Textile Research Journal, 57, 1987, pp.670.
  • 37. Kuo Hung-Feng Jeffrey, Lee Ching-Jeng, ‘A Back-Propagation Neural for Recognizing Fabric Defects’, Textile Research Journal, 73, 2003, pp. 147-151.
  • 38. Chen, P. W., Liang, T. C., Yau, H. F., ‘Classifying Textile Faults with a Back-Propagation Neural Network Using Power Spectra’, Textile Research Journal 68, 1998, pp. 121-126.
  • 39. Cheng K.P.S., Lam H.L.L.., ‘Evaluating and Comparing the Physical Properties of Spliced Yarns by Regression and Neural Network Techniques’, Textile Research Journal 73, 2003, pp. 161-164.
  • 40. Huang Chang-Chiun, Chen I-Chun, ‘Neural-Fuzzy Classification for Fabric Defects’, Textile Research Journal 71, 2001, pp. 220-224.
  • 41. Chiu Shih-Hsuan, Chen Hung-Ning, Chen Jyh-Yeow., ‘Appearance Analysis of False Twist Textured Yarn Packages Using Image Processing and Neural Technology’ , Textile Research Journal, 71, 2001, pp. 313-317.
  • 42. Sakaguchi A., Guang Hua-Wen, Matsumoto Y, Toriumi K., Kim Hyungsup., ‘Image Analysis of Woven Fabric Surface Irregularity’ , Textile Research Journal, 71, 2001, pp. 666-671.
  • 43. Wen Che-Yen., ‘Defect Segmentation of Texture Images with Wavelet Transform and a Cooccurrence Matrix’ , Textile Research Journal, 71, 2001, pp. 743-749.
  • 44. Kuo Chung-Feng Jeffrey, Lee Ching-Jeng, Tsai Cheng-Chih., ‘Using a Neural Network to Identify Fabric Defects in Dynamic Cloth Inspection’ , Textile Research Journal, 73, 2003, pp. 238-244.
  • 45. Kuo Chung-Feng Jeffrey, Shih Chung-Yang, Kao Chih-Yuan, Lee Jiunn-Yih., ‘Color and Pattern Analysis of Printed Fabric by an Unsupervised Clustering Method’, Textile Research Journal, 75, 2005, pp. 9-12.
  • 46. Documentation of the Microscan 1.5 system for computer image analysis.
  • 47. Reports of research work financed from the resources for science provided for the years 2005 and 2006, as the promoter research project No. 3 T08E09629 directed by Mieczysław S. Machnio Ph.D., D.Sc., Professor of Bielsko-Biała University.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3248c8c9-2c25-49de-9773-1b4ff334cbf5
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