Extraction of Traditional Chinese Patterns for Jewelry Design Innovation Using Computer Vision Technology

Abstract

The use of traditional Chinese patterns in jewelry design has a long history, in order to realize the innovation of the design method, this paper uses computer vision technology to extract traditional Chinese patterns. After preprocessing the traditional pattern images, the edges of the images are detected by the improved Canny algorithm. Then the features of traditional Chinese patterns are extracted by the cascade fine segmentation algorithm in order to be integrated into modern jewelry design. The image extraction effect of the cascade fine segmentation algorithm in this paper is tested, and it is found that its extraction accuracy is far more than other image segmentation and extraction algorithms. The Chinese traditional pattern jewelry designed by this paper's computer vision technology gains “better” evaluation results among the viewer groups. The method proposed in this paper is feasible for the integration of Chinese traditional patterns into the jewelry design field.