TY - JOUR
KW - Arts computing
KW - Communication efficiency
KW - Computer aided design
KW - Computer aided design
KW - Computer-aided design
KW - Digital art
KW - Digital art
KW - Efficient communications
KW - Employment
KW - Expression communication
KW - Image Processing Algorithm
KW - Image classification
KW - Image enhancement
KW - Image processing algorithm
KW - Images processing
KW - Intangible cultural heritage
KW - Intangible cultural heritages
KW - Neural networks algorithms
KW - Noise abatement
KW - Optimisations
AU - N. Li
AB - As a new art form, digital art provides new ideas and ways for the inheritance and growth of (ICH) culture with its diversified expressions and efficient communication efficiency. In this study, wavelet neural network (WNN) algorithm will be used for image processing. Through feature detection, noise reduction and enhancement of ICH images, clearer and more vivid digital works of art will be obtained. By combining computer aided design (CAD) with traditional handicrafts, it is expected to provide new creative for ICH digital art creation. To verify the rationality and superiority of the image processing algorithm adopted in this article in ICH digital art creation, a computer simulation experiment was conducted. Using WNN s image classification algorithm, the classification accuracy of ICH images of folk dance, traditional handicrafts and folk activities all exceeds 90\%, which proves that the algorithm has excellent classification ability and generalization performance, and can be effectively applied to ICH image classification and recognition tasks.
DO - 10.14733/cadaps.2024.S13.119-134
N2 - As a new art form, digital art provides new ideas and ways for the inheritance and growth of (ICH) culture with its diversified expressions and efficient communication efficiency. In this study, wavelet neural network (WNN) algorithm will be used for image processing. Through feature detection, noise reduction and enhancement of ICH images, clearer and more vivid digital works of art will be obtained. By combining computer aided design (CAD) with traditional handicrafts, it is expected to provide new creative for ICH digital art creation. To verify the rationality and superiority of the image processing algorithm adopted in this article in ICH digital art creation, a computer simulation experiment was conducted. Using WNN s image classification algorithm, the classification accuracy of ICH images of folk dance, traditional handicrafts and folk activities all exceeds 90\%, which proves that the algorithm has excellent classification ability and generalization performance, and can be effectively applied to ICH image classification and recognition tasks.
SP - 119
EP - 134
TI - Digital Art Creation and Optimization of Intangible Cultural Heritage Based on Image Processing Algorithm
UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178364124&doi=10.14733%2fcadaps.2024.S13.119-134&partnerID=40&md5=4e7aa44cb2e81ec681cf64725e46f5fd
VL - 21
ER -