*Result*: The Application of Pattern Recognition System in Design Field Based on Aesthetic Principles.

Title:
The Application of Pattern Recognition System in Design Field Based on Aesthetic Principles.
Authors:
Wang C; School of Philosophy and Social Development, Guizhou University, Guiyang 550025, Guizhou, China., Li X; Media College, Xinyang Normal University, Xinyang 464000, Henan, China.
Source:
Computational intelligence and neuroscience [Comput Intell Neurosci] 2022 May 24; Vol. 2022, pp. 8581900. Date of Electronic Publication: 2022 May 24 (Print Publication: 2022).
Publication Type:
Journal Article; Retracted Publication
Language:
English
Journal Info:
Publisher: Hindawi Pub. Corp Country of Publication: United States NLM ID: 101279357 Publication Model: eCollection Cited Medium: Internet ISSN: 1687-5273 (Electronic) NLM ISO Abbreviation: Comput Intell Neurosci Subsets: MEDLINE
Imprint Name(s):
Original Publication: New York, NY : Hindawi Pub. Corp.
Comments:
Retraction in: Comput Intell Neurosci. 2023 Jul 26;2023:9845467. doi: 10.1155/2023/9845467.. (PMID: 37538721)
References:
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Entry Date(s):
Date Created: 20220603 Date Completed: 20220606 Latest Revision: 20231105
Update Code:
20260130
PubMed Central ID:
PMC9155962
DOI:
10.1155/2022/8581900
PMID:
35655523
Database:
MEDLINE

*Further Information*

*The design system based on aesthetic principles is the most representative in the field of design and has a certain significance for the research and construction of design aesthetics and the development of design education. Therefore, this paper studies the application of pattern recognition system in the field of design based on aesthetic principles and designs a new type of aesthetic principle design system based on pattern recognition in computer vision. This paper proposes pattern similarity measurement and image preprocessing technology to improve the traditional aesthetic principle design system through pattern recognition and then further refine the research of the whole system through histogram equalization and gamma correction. Finally, the MNIST dataset experiment is used to verify the effect of multicolumn convolutional neural network pattern recognition on the aesthetic principle design system. The questionnaire survey experiment in this article and the traditional comparative experiment show that 76% of the public are very satisfied with this design system based on the aesthetic principles of pattern recognition in computer vision. Also, the improved aesthetic principle system scores as high as 90-95 points.
(Copyright © 2022 Chenzhen Wang and Xinglin Li.)*

*The authors declare that there are no potential conflicts of interest in this study.*