To solve the problem of partial missing when manually extracting image details,this paper proposes an image contour extraction technology based on U2Net neural network algorithm,and applies it to the digital analysis and design of cultural and creative products of Henan Museum.This method extracts image features from the encoder and uses the decoder to generate segmentation maps based on these features,which greatly saves the time efficiency of manual extraction of cultural relics element modeling,facilitates the subsequent design work of designers.
museum cultural creationneural networksemantic image segmentationcultural creation design
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