Abstract
In order to more accurately explore and reflect the color design thinking of folk paintings, and provide more reference and inspiration for the current design with Chinese characteristics and ethnic characteristics, a research on the construction of color network model of folk paintings based on machine learning was proposed. By calculating the folk painting color feature point set, the concentric circles coordinate system, constructing the corresponding feature points according to the folk painting color main curvature, the tectonic pattern of folk painting color description factor, combined with folk drawing design of color invariants, matching the folk painting color, the introduction of image histogram constraint, nonlinear histogram transformation model is set up, According to the contrast distortion adjustment algorithm, the model is solved, and the folk painting color network model is constructed. The case shows that the color network model can accurately reflect the color characteristics and color matching design logic of Ansai folk paintings.
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Acknowledgement
“A study on the cultural and creative design and artistic creation of the unique landscape resources in Weizhou Island” by Professor 2021 of Nanning University, project number: 2021 JSGC22.
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Yu, R., Tan, B. (2023). Construction of Color Network Model of Folk Painting Based on Machine Learning. In: Xu, Y., Yan, H., Teng, H., Cai, J., Li, J. (eds) Machine Learning for Cyber Security. ML4CS 2022. Lecture Notes in Computer Science, vol 13657. Springer, Cham. https://doi.org/10.1007/978-3-031-20102-8_20
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DOI: https://doi.org/10.1007/978-3-031-20102-8_20
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