应用纱线序列图像的电子织物构建

为检测纱线条干均匀性对织物外观的影响，在纱线条干图像测量的基础上，提出了一种基于纱线序列图像的电子织物的构建方法。通过建立织物组织变化模型和光照模型，将纱线直径值与基元组织点外观灰度纹理分布相结合，构建电子织物外观数学模型。实验中通过将采集的纱线序列图像进行图像分割和形态学运算等处理，获取纱线直径数据，代入到构建的织物外观数学模型中，实现基于纱线序列图像的电子织物的模拟并且相关参数可调。通过选择合理的织物结构参数，提出的电子织物模型能够真实的反映纱线条干均匀性对织物外观的影响，准确预测布面效果。

Automatic construction of digital woven fabric using sequence yarn images

In order to detect the influence of yarnevenness 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.