应用色纺纱图像的纬编针织物外观模拟

Weft knitted fabric appearance simulation using colored spun yarn image

针对试织打样预测色纺纱针织物产品布面颜色造成的耗时、费力问题,提出一种应用真实色纺纱图像的针织物外观模拟方法。首先利用图像处理技术对采集到的色纺纱彩色图像进行预处理,包括图像分割、形态学开运算和闭运算得到色纺纱的主体二值图像,获取纱线主体的边界和中心线,进而得到原始纱线图像主体部分;然后利用改进的Peirce线圈模型,将真实色纺纱线纹理映射至线圈的几何模型上;最后根据建立的织物组织变换模型,改变线圈的覆盖关系,完成纬编针织物的模拟。模拟结果表明:该模拟算法可快速、准确地模拟出不同密度、不同纱线的织物布面效果,且与真实扫描的织物视觉效果一致,有望取代实物打样。

In order to solve the time-consuming and labor-consuming problems caused by the prediction of fabric surface color of spun yarn knitwear products by making samples, a method for the simulation of knitted fabric appearance by using real spun yarn image was proposed. Firstly, image processing technology was adopted to preprocess the color images of the collected yarns, comprising image segmentation, morphological operations and closed operations to acquire the main binary image of the color spinning yarns, and the boundary and center line of the yarn main body were obtained. Furthermore, the main part of the original yarn image was obtained. Then, using the improved Peirce loop model, the texture information of the true colored spun yarn was mapped onto the geometric model of the loop. Finally, according to the established fabric structure transformation model, the coverage relationship of the loop was changed to complete simulation of weft knitted fabrics. Simulation results show that the proposed simulation algorithm can rapidly and accurately simulate the effect of different density and different yarn fabric cloth, which is consistent with the real scan fabric visual effect, thus, it is expected to replace physical proofing.