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Image Segmentation Based Determination of Elastane Core Yarn Diameter

Research and development

Authors:

  • Hladnik Aleš
    Department of Textiles, Graphic Arts and Design, Faculty of Natural Science and Engineering, University of Ljubljana, Ljubljana, Slovenia
  • Pavko-Čuden Alenka (j/w)
  • Farajikhah Syamak
    Department of Textile Engineering, Amirkabir University of Technology, Tehran, Iran
  • Farajikhah Syamak
    ARC Centre of Excellence in Electromaterials Science (ACES), University of Wollongong Australia, Wollongong NSW, Australia

Nr DOI: 10.5604/12303666.1191424

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Abstract:

Yarn diameter is one of the key knitted fabric parameters, whose accurate determination, however, continues to be a difficult task. The goal of the study presented was to calculate the diameter of dry and wet relaxed yarns with and without incorporated elastane using imageprocessing and -analysis tools implemented in MATLAB. Compared to the images of wet relaxed samples, a much more sophisticated segmentation approach had to be implemented for dry relaxed yarn images due to their weaker yarn-background contrast. The values calculated were compared with those obtained with the conventional yarn thickness determination method developed by Sadikov. Linear correlation between the two techniques was found to be substantial – coefficients of determination for the yarn diameters of the wet and dry relaxed samples were 0.87 and 0.72, respectively. Unlike  Sadikov’s method, our newly developed technique calculates yarn core diameter without hairiness.

Tags:

elastane core yarn, image analysis, image segmentation, yarn diameter.

Citation:

Hladnik A, Pavko-Čuden A, Farajikhah S. Image Segmentation Based Determination of Elastane Core Yarn Diameter. FIBRES & TEXTILES in Eastern Europe 2016; 24, 2(116): 29-36. DOI: 10.5604/12303666.1191424

Published in issue no 2 (116) / 2016, pages 29–36.

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