The fabric of colored spun yarn has ever-changing appearances and styles with different fancy yarns. The fabric image is commonly designed by the designer using the software, which needs complex user interactions and difficult image segmentation. In this paper, a modified color transfer method was proposed to generate the fabric appearance of colored spun yarn. Given the color card as the target image, the style fabric image was matched as the reference image based on the dominant luminance. After transferring the two images to lαβ color space, Wavelet transform and luminance sampling were utilized to filter the redundant high-frequency information and select the representative pixels, respectively. Then, the chromatic channels were transferred based on the best matched luminance and the neighborhood relation. Finally, the image after color transfer was reconstructed by wavelet reconstruction. The proposed reference image matching maintained the result to be the ground truth. For the samples selected, the combined methods based on wavelet transform and luminance sampling improved the efficiency and performance of the proposed scheme. Experiments were conducted on different fabrics with different colors and styles. Experiments demonstrated the validity and superiority of the proposed method, which can provide referential assistance for the designer and save considerable amounts of labor.

彩色短纤纱的外观和样式随着花式纱的变化而不断变化。织物图像通常是由设计师使用软件设计的，该软件需要复杂的用户交互和困难的图像分割。本文提出了一种改进的颜色转移方法来产生彩色短纤纱的织物外观。给定色卡作为目标图像，基于主亮度将样式织物图像作为参考图像进行匹配。将两个图像传输到lαβ之后利用色彩空间，小波变换和亮度采样分别过滤冗余高频信息并选择代表性像素。然后，根据最佳匹配的亮度和邻域关系传输色通道。最后，通过小波重构对色彩转移后的图像进行重构。所提出的参考图像匹配将结果保持为基本事实。对于所选样本，基于小波变换和亮度采样的组合方法提高了所提方案的效率和性能。在具有不同颜色和样式的不同织物上进行了实验。实验证明了该方法的有效性和优越性，