应用混色纱纹理信息的纬编针织物模拟

Weft knitted fabric simulation using mixed color yarn texture information

为研究数码混色纱纬编针织物的外观色彩及纹影的模拟方法,利用图像处理技术对采集的图像进行平滑去噪,得到剔除细节的模糊图像,在Lab空间下运用彩色图像硬聚类算法对平滑后的图像进行聚类分割,得到混色纱主体图像,获取其左右的边界和中心线信息;然后在经典的Pierce线圈模型的基础上,利用混色纱主体图像的廓线信息完成由纱线到线圈圈弧和圈柱的映射;最终根据不同组织的圈弧和圈柱的覆盖关系,得到基本纬编针织物组织。结果表明,提出的纱线映射线圈算法,通过织物组织结构及密度可模拟混色纱纬编织物的混色色彩及外观纹影。

In order to study a simulation method for weft knitted fabric external color and schlieren using digital and mixed color yarn,the details removing blurred image was firstly acquired by smoothing and denoising image using image processing technology. Then color image K-means clustering algorithm was applied to segment the smooth 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 fabrics 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.