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Traditional art design expression based on embedded system development.

Yan Cui1,2, Amer Shakir Bin Zainol2

  • 1Academy of Arts, Zhengzhou Business University, Zhengzhou, Henan, China.

Peerj. Computer Science
|July 10, 2024
PubMed
Summary
This summary is machine-generated.

This study presents an embedded system for art presentation, enhancing digital and traditional art integration. The optimized VGG network achieved higher image style classification accuracy, improving art fusion capabilities.

Keywords:
CNNDigital painting artEmbedded systemIntegrationVGG Net

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Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Digital Art

Background:

  • Traditional art design and digital painting art are often presented separately.
  • Integrating digital art with traditional design requires sophisticated systems for analysis and presentation.
  • Existing methods may lack efficiency in analyzing complex visual features.

Purpose of the Study:

  • To construct an embedded system for a painting art and style presentation platform.
  • To achieve automatic integration of digital painting art with traditional art design.
  • To optimize image texture feature recognition for enhanced art analysis.

Main Methods:

  • Developed an embedded system using Bootstrap, Django, and TensorFlow.
  • Optimized the Visual Geometry Group (VGG) network with Inception modules and residual connections.
  • Implemented image texture feature recognition and style classification algorithms.

Main Results:

  • The optimized VGG network showed a 2.6% increase in image style classification accuracy.
  • Achieved 87.34% accuracy in architectural image classification and 95.33% in landscape image classification.
  • The platform demonstrated enhanced scalability and reduced burden on system modules.

Conclusions:

  • The proposed system effectively integrates digital and traditional art forms.
  • The optimized network architecture improves the accuracy of art style classification.
  • The platform facilitates automated fusion of digital and traditional art expression.