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The Application of Pattern Recognition System in Design Field Based on Aesthetic Principles
1School of Philosophy and Social Development, Guizhou University, Guiyang 550025, Guizhou, China.
Computational Intelligence and Neuroscience
|June 3, 2022
Summary
This study introduces an improved design system using computer vision and pattern recognition to enhance aesthetic principles. The new system achieved high public satisfaction and scores, advancing design aesthetics and education.
Area of Science:
- Computer Vision
- Design Aesthetics
- Artificial Intelligence
Background:
- Aesthetic principles are central to design, impacting research, construction, and education.
- Traditional design systems lack advanced computational methods for aesthetic evaluation.
Purpose of the Study:
- To develop a novel aesthetic principle design system leveraging pattern recognition in computer vision.
- To enhance traditional systems with pattern similarity measurement and image preprocessing techniques.
Main Methods:
- Implemented pattern similarity measurement and image preprocessing.
- Utilized histogram equalization and gamma correction for system refinement.
- Employed a multicolumn convolutional neural network for pattern recognition on the MNIST dataset.
Main Results:
- The enhanced system demonstrated significant improvements in aesthetic principle design.
- A questionnaire survey revealed 76% public satisfaction with the new system.
- The improved system achieved high scores ranging from 90 to 95 points.
Conclusions:
- Pattern recognition in computer vision offers a viable method for advancing aesthetic principle design systems.
- The developed system shows potential for improving design education and practice.
- The integration of AI enhances the objective evaluation of aesthetic principles in design.
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