Design on Intelligent Feature Graphics Based on Convolution Operation
With the development and application of artificial intelligence, the technical methods of intelligent image processing and graphic design need to be explored to realize the intelligent graphic design based on traditional graphics such as pottery engraving graphics. An optimized method is aimed to be...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-01-01
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| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/10/3/384 |
| _version_ | 1797486351064498176 |
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| author | Ying Li Ye Tang |
| author_facet | Ying Li Ye Tang |
| author_sort | Ying Li |
| collection | DOAJ |
| description | With the development and application of artificial intelligence, the technical methods of intelligent image processing and graphic design need to be explored to realize the intelligent graphic design based on traditional graphics such as pottery engraving graphics. An optimized method is aimed to be explored to extract the image features from traditional engraving graphics on historical relics and apply them into intelligent graphic design. For this purpose, an image feature extracted model based on convolution operation is proposed. Parametric test and effectiveness research are conducted to evaluate the performance of the proposed model. Theoretical and practical research shows that the image-extracted model has a significant effect on the extraction of image features from traditional engraving graphics because the image brightness processing greatly simplifies the process of image feature extraction, and the convolution operation improves the accuracy. Based on the brightness feature map output from the proposed model, the design algorithm of intelligent feature graphic is presented to create the feature graphics, which can be directly applied to design the intelligent graphical interface. Taking some pottery engraving graphics from the Neolithic Age as an example, we conduct the practice on image feature extraction and feature graphic design, the results of which further verify the effectiveness of the proposed method. This paper provides a theoretical basis for the application of traditional engraving graphics in intelligent graphical interface design for AI products such as smart tourism products, smart museums, and so on. |
| first_indexed | 2024-03-09T23:32:56Z |
| format | Article |
| id | doaj.art-358f993df2964b078fa37c19e828d4bf |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-09T23:32:56Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-358f993df2964b078fa37c19e828d4bf2023-11-23T17:06:38ZengMDPI AGMathematics2227-73902022-01-0110338410.3390/math10030384Design on Intelligent Feature Graphics Based on Convolution OperationYing Li0Ye Tang1School of Arts, Anhui Polytechnic University, Wuhu 241000, ChinaSchool of Mechanical Engineering, Anhui Polytechnic University, Wuhu 241000, ChinaWith the development and application of artificial intelligence, the technical methods of intelligent image processing and graphic design need to be explored to realize the intelligent graphic design based on traditional graphics such as pottery engraving graphics. An optimized method is aimed to be explored to extract the image features from traditional engraving graphics on historical relics and apply them into intelligent graphic design. For this purpose, an image feature extracted model based on convolution operation is proposed. Parametric test and effectiveness research are conducted to evaluate the performance of the proposed model. Theoretical and practical research shows that the image-extracted model has a significant effect on the extraction of image features from traditional engraving graphics because the image brightness processing greatly simplifies the process of image feature extraction, and the convolution operation improves the accuracy. Based on the brightness feature map output from the proposed model, the design algorithm of intelligent feature graphic is presented to create the feature graphics, which can be directly applied to design the intelligent graphical interface. Taking some pottery engraving graphics from the Neolithic Age as an example, we conduct the practice on image feature extraction and feature graphic design, the results of which further verify the effectiveness of the proposed method. This paper provides a theoretical basis for the application of traditional engraving graphics in intelligent graphical interface design for AI products such as smart tourism products, smart museums, and so on.https://www.mdpi.com/2227-7390/10/3/384convolution operationintelligent graphic designbrightness featuretraditional engraving graphics |
| spellingShingle | Ying Li Ye Tang Design on Intelligent Feature Graphics Based on Convolution Operation Mathematics convolution operation intelligent graphic design brightness feature traditional engraving graphics |
| title | Design on Intelligent Feature Graphics Based on Convolution Operation |
| title_full | Design on Intelligent Feature Graphics Based on Convolution Operation |
| title_fullStr | Design on Intelligent Feature Graphics Based on Convolution Operation |
| title_full_unstemmed | Design on Intelligent Feature Graphics Based on Convolution Operation |
| title_short | Design on Intelligent Feature Graphics Based on Convolution Operation |
| title_sort | design on intelligent feature graphics based on convolution operation |
| topic | convolution operation intelligent graphic design brightness feature traditional engraving graphics |
| url | https://www.mdpi.com/2227-7390/10/3/384 |
| work_keys_str_mv | AT yingli designonintelligentfeaturegraphicsbasedonconvolutionoperation AT yetang designonintelligentfeaturegraphicsbasedonconvolutionoperation |