少数民族服装独特的色彩蕴含着各民族的民族历史与文化特点，是民族文化保护和传承的重要内容之一。本项目旨在综合计算机科学、民族学、艺术学等多学科，融合图像处理新技术，从计算机视觉的角度开展少数民族服装图像自动着色的关键技术研究。项目通过对少数民族服装图像的色彩理论分析，构建一种基于统计的少数民族服装色彩空间；研究一种基于高斯混合模型的少数民族服装灰度图像自动着色技术，通过少数民族服装灰度图像的区域聚类和颜色迁移算法实现灰度图像区域的彩色化；研究一种基于民族服装色彩和款式的深度卷积神经网络的自动着色模型，实现稳定、高效、自动地少数民族服装草图着色。本项目的研究将为少数民族服饰相关领域的研究者提供理论依据、技术参考和新的研究思路，为少数民族服饰文化数字化提供有效手段，助推少数民族服饰色彩元素在辅助服装设计等相关领域的推广应用，极大地促进少数民族文化的保护和传承，具有一定的研究价值和应用前景。

The unique color of ethnic minority costumes contains the ethnic history and cultural characteristics of various ethnic groups and is one of the important contents of the preservation and inheritance of ethnic cultures. This project aims to integrate computer science, ethnology, arts and other disciplines, apply new image processing technologies, and carry out research on key techniques of automatic colorization for ethnic minority costume images from the perspective of computer vision. The project analyzes the color theory of national costumes and establishes a color space for national costumes based on statistics. It proposes a new method based on Gaussian mixture model for gray image colorization for national costumes. This colorization method can perform regional clustering of national costume sketches to achieve colorization of the regional image via a color transfer algorithm; Then a deep learning framework is introduced to construct a deep convolutional neural network considering the color and style of minority costume, which can achieve automatic, stable and efficient automatic colorization for minority costume sketches. This project research will provide theoretical basis and technical reference, and also motivate some new research ideas, which can bring effective digitization means for minority costume culture. It is helpful to realize the application and popularization of national costume color elements in the field of computer aided fashion design. Also, it will significantly promote the protection and inheritance of national costume culture, which has significant research value and application prospect.