Journal of Textile Research ›› 2016, Vol. 37 ›› Issue (3): 35-40.

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Automatic construction of digital woven fabric using sequence yarn images

  

  • Received:2014-10-30 Revised:2015-04-13 Online:2016-03-15 Published:2016-03-16

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Abstract:

In order to detect the influence of yarn evenness on the fabric appearance, a new method was proposed for constructing digital woven fabric (DWF) using sequence yarn images. The yarn diameter was combined with the gray texture distribution of elementary interlacing points based on the woven structure model and curve model of light intensity. And then the mathematical model of digital woven fabric was constructed. In experiment, the diameter data of yarn, which was obtained by processing the yarn sequence images based on image segmentation and morphology operation, was applied to the mathematical model for constructing digital woven fabric. Different digital woven fabric images were discussed by changing the relevant parameters. The proposed mathematical model can really reflect the effect of yarn evenness on the fabric appearance and accurately predict the surface effect by selecting the reasonable parameters.

Key words: digital woven fabric, sequence yarn image, yarn evenness, image processing, mathematical model

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