Intelligent Generation and Design Application of Abstract Color of the 24 Solar Terms

ZHOU Feng, WU Xiao-li, HENG Jia-qi, WU Shu-yang

Packaging Engineering ›› 2022, Vol. 43 ›› Issue (4) : 60-70.

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Packaging Engineering ›› 2022, Vol. 43 ›› Issue (4) : 60-70. DOI: 10.19554/j.cnki.1001-3563.2022.04.007

Intelligent Generation and Design Application of Abstract Color of the 24 Solar Terms

  • ZHOU Feng1, HENG Jia-qi1, WU Xiao-li2, WU Shu-yang3
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Abstract

color with the general cognition of Chinese nation by computer intelligent generation, and explore the design application. Abstract color is a visual experience acquired by human cognition of the universe, nature and culture, and a deep impression expressed through subconscious associative thinking. Firstly, taking the 24 solar terms as the object, the associative words representing the deep impression of the twenty-four solar terms are mined by using the Word2vec big data semantic analysis tool. Secondly, based on the associative vocabulary representing the deep impression of the 24 solar terms, the images of the 24 solar terms are captured. According to the images of the 24 solar terms, the K-Means algorithm is used to mine the Abstract colors representing the deep impression of the 24 solar terms, and the Abstract color database representing the deep impression of the 24 solar terms is constructed. The Abstract color representing the deep impression of the 24 solar terms is generated in intelligent batch by using the Processing program, and the Abstract color representing the deep impression of the 24 solar terms is applied to packaging design. The results of the questionnaire show that the Abstract colors generated by computer intelligently can meet the impression of most people on the solar terms. The design and research of computer intelligent generation based on the 24 solar terms Abstract color of Chinese nation's general cognition has wide application value in the future.

Key words

Abstract color; 24 solar terms; deep impression; intelligent generation

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ZHOU Feng, WU Xiao-li, HENG Jia-qi, WU Shu-yang. Intelligent Generation and Design Application of Abstract Color of the 24 Solar Terms[J]. Packaging Engineering. 2022, 43(4): 60-70 https://doi.org/10.19554/j.cnki.1001-3563.2022.04.007
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