Optimized Soft Frame Design of Traditional Printing and Dyeing Process in Xiangxi Based on Pattern Mining and Edge-Driven Scene Understanding

Traditional folk crafts are handicrafts and corresponding activities created by Chinese working people in all ages to meet their material and spiritual needs by using various material materials and handicrafts. It reflects the general characteristics of Arts and crafts, but also shows the distinctive personality of national culture. The folk printing and dyeing process of Miao Nationality in Xiangxi and Southeast Guizhou has this characteristic, which once brought a lot of convenience to people's life and became an important part of people's life at that time. However, under the impact of economic globalization, the diversity of human culture and the intangible cultural heritage of all ethnic groups are facing serious challenges. With the development of economy, the traditional manual printing and dyeing technology is gradually replaced by modern printing and dyeing technology, and its position in textile printing and dyeing is greatly reduced. However, it can not be ignored that the manual printing and dyeing process is still full of vitality, which is welcomed and loved by the public in the optimization design of fashion textiles. Traditional art carries a lot of spiritual things in its material form, so it has high aesthetic value, cultural value and profound spiritual connotation. Therefore, the optimization design of traditional printing and dyeing process framework in Xiangxi is worth studying. In this paper, using big data pattern mining algorithm and scene understanding algorithm, a framework optimization system of traditional printing and dyeing process in Xiangxi is constructed.