Digital Protection and Inheritance of Intangible Cultural Heritage of Clothing Using Image Segmentation Algorithm

As an important part of traditional culture, the protection and inheritance of ICH costumes are facing many challenges. The clothing image segmentation algorithm plays an important role in the digital protection and inheritance of ICH clothing by using computer aided design (CAD) and virtual reality (VR). By segmenting the clothing image, the clothing region in the image can be extracted. This article will focus on developing a clothing image segmentation algorithm based on deep learning (DL), which can automatically identify and segment key parts of clothing images, including styles, colors and textures. Simulation test shows that the image segmentation algorithm based on convolutional neural network (CNN) has better performance in modeling accuracy and efficiency. Using the clothing image segmentation algorithm based on DL, detailed information such as the appearance, structure and texture of ICH clothing can be digitally captured and stored, and efficient and permanent protection can be achieved. Digital ICH clothing can be used for virtual display, dynamic demonstration, redesign and other applications, thus further promoting the inheritance and growth of ICH clothing. © 2024 U-turn Press LLC.