文献类型：期刊文献

英文题名：Research on the Regenerated Design of Blue Calico Based on Computer Image Processing

作者：Wang, Yuanyuan[1]; Fu, Rongrong[1]

机构：[1] East China University of Science and Technology, Shanghai, China

年份：2020

卷号：12215 LNCS

起止页码：428

外文期刊名：Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

收录：EI(收录号：20203209028809)

语种：英文

外文关键词：Employment - Design

摘要：As a traditional handicraft printing and dyeing product of the Han nationality, blue calico has been included in the first batch of national intangible cultural heritage list. Blue printed pattern is famous for its blue and white color characteristics. However, due to monotonous and old pattern design, lack of innovation and other factors, blue calico cannot adapt to the contemporary aesthetic habits, resulting in difficulties in inheritance and regeneration. In order to solve this problem, this paper aims at redesigning and activating the blue calico by combining the traditional pattern with the modern graphic design pattern through machine learning and computer image processing technology. With Inception Score and user satisfaction survey as the evaluation metrics, feasibility of computer image processing technology for the reconstruction of intangible cultural heritage image generation is verified. Finally, design value of generated patterns is proved, and a research model of the relationship between computer image processing technology and intangible cultural heritage design is established. ? 2020, Springer Nature Switzerland AG.