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

<p>Based on archaeological and historical data, this paper firstly researches and explains the source and flow of Yi lacquer art in Liangshan and proposes the visual communication innovation strategy of Yi lacquer art. Secondly, it uses Internet technology to collect images of Yi lacquer art, grayscale them on the basis of obtaining images of Yi lacquer art, and then facilitates the adaptive threshold method to realize the conversion of the bitmap into a vector map. Then, considering that the visual database pattern resource of Yi lacquer art contains not only pattern information but also color information, we constructed the visual communication database of Yi lacquer art images and carried out an example analysis of the visual communication of Yi lacquer art images based on adaptive thresholding method. The results show that the accuracy, precision, and DSC of R-AMRFCM are improved by 0.0978, 0.4537, and 0.5436, respectively, compared with the GSRG algorithm in algorithmic analysis. In the analysis of Yi lacquer art communication behaviors, behavioral cognition (t=−4.108, p&lt;0.01), behavioral habit (t=−3.090, p&lt;0.01), behavioral intention (t =−2.848, p&lt;0.01), emotional experience (t=−2.277p&lt;0.05), subjective criteria (t=−4.241, p&lt;0.01), and attitude towards Yi lacquer art communication (t=−5.268, p&lt;0.01) are all significantly different. This study optimizes the details of Yi lacquer art dissemination in Internet technology and effectively promotes the visual dissemination and high-quality development of Yi lacquer art.</p>
</abstract>

Based on archaeological and historical data, this paper firstly researches and explains the source and flow of Yi lacquer art in Liangshan and proposes the visual communication innovation strategy of Yi lacquer art. Secondly, it uses Internet technology to collect images of Yi lacquer art, grayscale them on the basis of obtaining images of Yi lacquer art, and then facilitates the adaptive threshold method to realize the conversion of the bitmap into a vector map. Then, considering that the visual database pattern resource of Yi lacquer art contains not only pattern information but also color information, we constructed the visual communication database of Yi lacquer art images and carried out an example analysis of the visual communication of Yi lacquer art images based on adaptive thresholding method. The results show that the accuracy, precision, and DSC of R-AMRFCM are improved by 0.0978, 0.4537, and 0.5436, respectively, compared with the GSRG algorithm in algorithmic analysis. In the analysis of Yi lacquer art communication behaviors, behavioral cognition (t=−4.108, p<0.01), behavioral habit (t=−3.090, p<0.01), behavioral intention (t =−2.848, p<0.01), emotional experience (t=−2.277p<0.05), subjective criteria (t=−4.241, p<0.01), and attitude towards Yi lacquer art communication (t=−5.268, p<0.01) are all significantly different. This study optimizes the details of Yi lacquer art dissemination in Internet technology and effectively promotes the visual dissemination and high-quality development of Yi lacquer art.

Innovative Application of Visual Communication of Yi Lacquer Art under Internet Technology

Applied Mathematics and Nonlinear Sciences

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

Based on archaeological and historical data, this paper firstly researches and explains the source and flow of Yi lacquer art in Liangshan and proposes the...

Innovative Application of Visual Communication of Yi Lacquer Art under Internet Technology

Pubblicato online: 08 nov 2023

Pagine: -

Ricevuto: 09 gen 2023

Accettato: 19 mag 2023

DOI: https://doi.org/10.2478/amns.2023.2.01066

Parole chiave
Internet technology, Adaptive thresholding method, Yi lacquer art, Image grayscaling, Visual communication database

© 2023 Ying Tan, published by Sciendo

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

Innovative Application of Visual Communication of Yi Lacquer Art under Internet Technology

Pubblicato online: 08 nov 2023

Pagine: -

Ricevuto: 09 gen 2023

Accettato: 19 mag 2023

DOI: https://doi.org/10.2478/amns.2023.2.01066

Parole chiaveInternet technology, Adaptive thresholding method, Yi lacquer art, Image grayscaling, Visual communication database

© 2023 Ying Tan, published by Sciendo

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

Parole chiave
Internet technology, Adaptive thresholding method, Yi lacquer art, Image grayscaling, Visual communication database