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Detection of Warp Elongation in Satin Woven Cotton Fabrics Using Image Processing

Treść / Zawartość
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Warianty tytułu
PL
Oznaczanie wydłużenia nitek osnowy w satynowych tkaninach bawełnianych przy zastosowaniu analizy obrazu
Języki publikacji
EN
Abstrakty
EN
In this study, warp elongations in a satin fabric were detected using image processing to reduce yarn breakage during weaving. It was aimed to increase the productivity of the weaving looms. In this work, a high sensitive camera was used for the analyses. The warp elongation was analysed and determined statistically using MATLAB software. The warp elongations in satin woven fabric samples were examined and detected on a working loom using a high sensitivity camera. Additionally the strains for each warp yarn were measured and recorded. Different elongations for warp ends were observed, attributed to the differences in mechanism settings. The difference in the elongation of the warp yarns causes warp yarn breakages, which decrease productivity during weaving. This warp breaking ratio could be reduced by making necessary adjustments to the shedding mechanism on the loom.
PL
Analiza została wykonana w celu możliwości zredukowania zrywów włókien podczas przędzenia, a tym samym w celu zwiększenia produktywności krosien. Zastosowano wysokoczułą kamerę do analizy obrazów. Wydłużenia włókien osnowy mierzono i analizowano statystycznie stosując program MATLAB. Zaobserwowano i zarejestrowano różne wydłużenia w zależności od parametrów ustawienia krosna. Ilość zrywów można było zredukować poprzez odpowiednie ustawienie mechanizmu sterowania przesmyku.
Rocznik
Strony
59--62
Opis fizyczny
Bibliogr. 24 poz., rys., tab.
Twórcy
autor
  • Department of Textile Engineering, Faculty of Engineering, Pamukkale University, Denizli, Turkey
autor
  • Department of Textile Engineering, Faculty of Engineering, Pamukkale University, Denizli, Turkey
autor
  • Department of Textile Engineering, Faculty of Engineering, Suleyman Demirel University, Isparta, Turkey
autor
  • Department of Textile Engineering, Faculty of Engineering, Pamukkale University, Denizli, Turkey
autor
  • Department of Textile Engineering, Faculty of Engineering, Pamukkale University, Denizli, Turkey
Bibliografia
  • 1. Ngan HYT and Pang GKH. Regularity Analysis for Patterned Texture Inspection IEEE Transactions on Automation Science and Engineering 2009; 6, 1: 131–144
  • 2. Bodnarova A, Bennamoun M and Kubik KK. Defect detection in textile materials based on aspects of HVS, Proceedings of the IEEE SMC’ 98, Conference Oct.1998, pp. 4423–4428. San Diego, US,
  • 3. Chan CH, Liu H, Kwan T and Pang G. Automation technology for fabric inspection system. Proceedings of Conference on Applications of Automation Science and Technology, City University of Hong Kong, Nov.1998, pp. 24–26.
  • 4. Uster Fabriscan Catalogue, Mar. 2010, Switzerland.
  • 5. Barco Vision, http://www.visionbms.com/vision/downloads/Cyclops AutomaticOn-LoomInspection_BRCH_EN_A00511.pdf.Mar. 2010, accessed Jul. 2013.
  • 6. Jackson Todd A and Bell CA. Megapixel resolution portable CCD electronic still camera. Proceedings of SPIE-The International Society for Optical Engineering 1991; 1448: pp.2-12.
  • 7. Yılmaz A. Kamera kullanılarak görüntü işleme yoluyla gerçek zamanlı güvenlik uygulaması, Yüksek Lisans Tezi, Haliç Üniversitesi Fen Bilimleri Enstitüsü Makine Mühendisliği Anabilim Dalı, 102, İstanbul, 2007.
  • 8. Ludwig HW and Gries T. Measurements Carried Out To Minimise Warp Tension Variations in Weaving Machines. Melliand Textilberichte 2002; June: 55-58.
  • 9. Weinsdorfer H, Azarschab M, Murrweib H and Wolfrum J. Effect of the Selvedge and the Temples on the Running Performance of Weaving Machines and on the Quality of the Fabric. Melliand Textilberichte 1988; 35: 364-372.
  • 10. Ye PZT, Shi Y and Tu X. Research on computer-aided analysis and reverse reconstruction for the weave pattern of fabric. Textile Research Journal 2013; 83(3): 298–310.
  • 11. Kuo CFJ., Lee CJ and Tsai CC. Using a Neural Network to Identify Fabric Defects in Dynamic Cloth Inspection. Textile Research Journal 2003; 73, 3: 238 244, ISSN 0040-5175.
  • 12. Zhi YX, Pang GKH and Yung HCN., Fabric Defect Detection Using Adaptive Wavelet, IEEE International Conference on Acoustics, Speech, and Signal Processing, 2001; 3697-3700.
  • 13. Zhi YX, Pang GKH and Yung HCN. Fabric Defect Detection Using Adaptive Wavelet, IEEE International Conference on Acoustics, Speech, and Signal Processing, 2001; 3697-3700.
  • 14. Yang X, Pang G and Yung N. Robust Fabric Defect Detection and Classification Using Multiple Adaptive Wavelets. IEE Proc.-Vis. Image Signal Process 2005; 152, 6: 715-723.
  • 15. Jain AK and Farrokhnia F. Unsupervised Texture Segmentation Using Gabor Filters. Pattern Recognation 1991; 24(12): 1167–1186.
  • 16. Bovik AC, Clark M and Geisler WS. Multichannel Texture Analysis Using Localized Spatial Filters. IEEE Trans. Pattern Analy. Machine Intell. 1990; 12: 55–73.
  • 17. Bodnarova A, Bennamoun M and Latham S. Optimal Gabor Filters for Textile Flaw Detection. Pattern Recognition 2002; 35: 2973 – 2991.
  • 18. Mak K L, Peng P, Lau HYK. Optimal Morphological Filter Design for Fabric Defect Detection. IEEE International Conference on Industrial Technology, Hong Kong, China, 2005; 799-804.
  • 19. Mak KL, Peng P, Lau HYK. A Real-Time Computer Vision System for Detecting Defects in Textile Fabrics. IEEE International Conference on Industrial Technology, Hong Kong, China, 2005; 469-474.
  • 20. Mak KL, Peng P and Yiu KFC. Fabric defect detection using morphological filters. Image and Vision Computing 2009; 27: 1585–1592.
  • 21. Rukuiziene Z and Milasius R. Influence of Reed on Fabric Inequality in Width. Fibers and Textiles in Eastern Europe 2006; 14, 4(58): 44-47.
  • 22. Sule G. Influence Of Warp Tension on Breaking Strength and Strain of Woven Fabrics. Tekstil ve Konfeksiyon 2010; Jan. – Mar.
  • 23. Turker E. Determination of Structural Parameters of Single-Colored Woven Fabrics by Using Image Processing Method. Tekstil ve Konfeksiyon 2014; Oct. –Nov.
  • 24. Rukuiziene Z and Milasius R. Inequality of Woven Fabric Elongation in Width and Change of Warp Inequality under Axial and Bi-axial Tensions. Fibers and Textiles in Eastern Europe 2006; 14, 1(55): 36-38.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8911af04-8137-47b8-8574-08a0cf34bf8b
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