关键词: 服饰特征提取, 封闭式自然图像抠图算法, [K]均值算法, 图像分割, 图像风格迁移

Abstract:

With the collision and fusion of national costume culture, this paper studies the image style transfer technology, expounds the current research status of style transfer, integrates Mongolian costume style with Han style, and inherits and promotes the national culture. For large difference of Mongolian costume elements variety, color, decorative pattern characteristics and cause of style such as irregularity extraction is difficult problem, it uses the algorithm of [K]-means and closed natural cutout combination method for image segmentation, extracts the image of style and content based on neural network, uses image reconstruction technology to synthesize results, implements the image style transfer of Mongolian and Han clothing. According to the serious output image artifact, it adopts the migration algorithm, an improved image style will constrain the transform of the input image to the output image in the local affine transformation of color space, the constraints are represented as a differentiable parameter completely, it effectively restrains image distortion, at the same time in real style photos do not match the space problems in the process of migration, it treatments smoothly to ensure the space style is consistent, this method greatly accelerates the speed.

Key words: garment feature extraction, closed form natural image matting algorithm, [K]-means algorithm, image segmentation, image style transfer