JOURNAL OF TEXTILE RESEARCH ›› 2017, Vol. 38 ›› Issue (07): 148-154.doi: 10.13475/j.fzxb.20160805607

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Weft knitted fabric simulation using mixed color yarn texture information

  

  • Received:2016-08-26 Revised:2017-04-08 Online:2017-07-15 Published:2017-07-18

Abstract:

In order to study a simulation method for weft knitted fabric external color and schlieren using digital and mexed color yarn, the details remobing blurred image was fiestly acquired by smoothing and denoising image using image processing technology. Then color image K-means clustering algorithm was applied to segment image to obtain yarn body image in the Lab space and clustering around the boundary and the center line of the information. On the basis of classic Pierce’s loop model, the profile information of the mixed color yarn image was used to complete the mapping from yarn to loop arc and loop column. Finally, according to the covering relationships of different textures, basic weft knitted fabric were obtained. The algorithm proposed for the yarn texture mapping to loop, can simulate mixed color and appearance of schlieren of weft knitted fabric using mixed color yarn according to the actual fabric structure and density.

Key words: mixed color yarn, image peocessing, texture mapping, loop model, fabric simulation

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