Planar Prediction on Spatial Trend of Weft Knitted Fabric Yarns

Tang Jun Lv; Hai Ru Long

doi:10.4028/www.scientific.net/AMR.821-822.248

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Gray Synthetic Evaluation on Comfort of Towel Fabrics
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A New Method to Measure 3D Textile Defects by Using Dual-Lens Camera
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Study on Precision of a DNA Analysis Method for Quantifying Cashmere/Wool Mixture
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Planar Prediction on Spatial Trend of Weft Knitted Fabric Yarns
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Effects of Structural Parameters and Performance on Poisson's Ratio of Auxetic Yarn
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Research on Tensile Recovery Performance of Running Clothing Fabric
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 821-822Planar Prediction on Spatial Trend of Weft Knitted...

Planar Prediction on Spatial Trend of Weft Knitted Fabric Yarns

Abstract:

As the organization structure of weft-knitted fabrics contains a very complicated spatial structure, it is hard to identify it. In this paper, the indirect identification method is put forward in this paper, the planar prediction on the spatial trend of weft-knitted fabric yarns, in accordance with the double-sided compatible database for structuring the coil level, by means of the SURF algorithm, so as to realize the identification of weft-knitted fabric organization structure.

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Periodical:

Advanced Materials Research (Volumes 821-822)

Pages:

248-251

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.821-822.248

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Online since:

September 2013

Authors:

Tang Jun Lv, Hai Ru Long

Keywords:

Gaussian Filter, Structure Identification, SURF Algorithm, Weft Knitted

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