Automatic Construction of Digital Woven Fabric by Using Sequential Yarn Images

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In this article, a computerized method is proposed for simulating digital woven fabric (DWF) based on sequential yarn images captured from a moving yarn. A mathematical model of woven fabric structure is established by assuming that the crimped shape of yarns in weave structure is elastica, and the cross-sections of yarn in sequence image and fabric are circular and ellipse, respectively. The sequential yarn images, which are preprocessed and stitched first by image processing methods, are resized based on the mathematical model. Then a light intensity curve, which consists of radial curve model and axial curve model, is used to simulate the gray texture distribution of interlacing points in radial and axial directions. Finally, a Boole Matrix model is used to control the woven pattern. In the experiment, a slub yarn and a normal yarn samples with same count are applied to simulate gray texture fabrics. Then the gray fabrics are transformed to color fabrics based on three color maps. The fabric simulations are confined to single fabrics of plain, 2/2 matt, and 1/3 twill weaves.

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Autex Research Journal

The Journal of Association of Universities for Textiles (AUTEX)

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IMPACT FACTOR 2017: 0.957
5-year IMPACT FACTOR: 1.027

CiteScore 2017: 1.18

SCImago Journal Rank (SJR) 2017: 0.448
Source Normalized Impact per Paper (SNIP) 2017: 1.465


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