关键词: 色纺纱, 图像处理, 线圈模型, 纹理映射, 外观模拟

Abstract:

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.

Key words: colored spun yarn, image processing, loop model, texture mapping, appearance simulation