<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The K-means color extraction method based on clustering is used to extract Chinese cultural color elements in this paper, and they are intelligently laid out to design product packaging colors. In the processing of graphic elements, a SIFT-based algorithm is used to match the feature points, and the Chinese cultural graphic elements are aligned to design the graphics of product packaging. To investigate the extraction and application effects of color elements and graphic elements, a validation test was conducted on this basis. The results show that the overall effect value of traditional packaging color design is between [0.6, 0.7], the overall effect value of intelligent packaging design based on Chinese cultural elements is between [0.88,0.96], and the overall effect of the application of graphic elements of Chinese culture to product packaging design is high, with a difference of about 0.1 from the expected effect. Based on this study is able to apply the elements of Chinese culture to product packaging design.</p>
</abstract>

The K-means color extraction method based on clustering is used to extract Chinese cultural color elements in this paper, and they are intelligently laid out to design product packaging colors. In the processing of graphic elements, a SIFT-based algorithm is used to match the feature points, and the Chinese cultural graphic elements are aligned to design the graphics of product packaging. To investigate the extraction and application effects of color elements and graphic elements, a validation test was conducted on this basis. The results show that the overall effect value of traditional packaging color design is between [0.6, 0.7], the overall effect value of intelligent packaging design based on Chinese cultural elements is between [0.88,0.96], and the overall effect of the application of graphic elements of Chinese culture to product packaging design is high, with a difference of about 0.1 from the expected effect. Based on this study is able to apply the elements of Chinese culture to product packaging design.

Research on the Application of Chinese Cultural Elements in Product Packaging Design under the Background of Big Data

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The K-means color extraction method based on clustering is used to extract Chinese cultural color elements in this paper, and they are intelligently laid out...

Research on the Application of Chinese Cultural Elements in Product Packaging Design under the Background of Big Data

Online veröffentlicht: 25. Nov. 2023

Seitenbereich: -

Eingereicht: 30. Dez. 2022

Akzeptiert: 05. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01223

Schlüsselwörter
k-means color extraction, Intelligent layout, SIFT algorithm, Chinese cultural elements, Product packaging design

© 2023 Caijun Yang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on the Application of Chinese Cultural Elements in Product Packaging Design under the Background of Big Data

Online veröffentlicht: 25. Nov. 2023

Seitenbereich: -

Eingereicht: 30. Dez. 2022

Akzeptiert: 05. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01223

Schlüsselwörterk-means color extraction, Intelligent layout, SIFT algorithm, Chinese cultural elements, Product packaging design

© 2023 Caijun Yang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
k-means color extraction, Intelligent layout, SIFT algorithm, Chinese cultural elements, Product packaging design