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

<p>This paper uses feature fusion methods to classify the characteristics of dress culture, focusing on the application scope of pixel-level, feature-level, and decision-level. A system for recognizing dress culture classification is constructed by combining machine vision technology, and the support vector machine algorithm is used to solve the nonlinear mapping problem in two-dimensional space. The range of values of support vectors is established by using decision functions to construct a linear hyperplane. The results show that integrating the color system of costume culture and clothing design can lead to new design paths. 70% of the clothing design works have natural color matching, and 60% have color matching that can alter body shape. The research in this paper provides a new reference path for clothing design innovation.</p>
</abstract>

This paper uses feature fusion methods to classify the characteristics of dress culture, focusing on the application scope of pixel-level, feature-level, and decision-level. A system for recognizing dress culture classification is constructed by combining machine vision technology, and the support vector machine algorithm is used to solve the nonlinear mapping problem in two-dimensional space. The range of values of support vectors is established by using decision functions to construct a linear hyperplane. The results show that integrating the color system of costume culture and clothing design can lead to new design paths. 70% of the clothing design works have natural color matching, and 60% have color matching that can alter body shape. The research in this paper provides a new reference path for clothing design innovation.

Analysis of the integration path of contemporary costume culture and clothing design innovation in the context of big data

Applied Mathematics and Nonlinear Sciences

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

This paper uses feature fusion methods to classify the characteristics of dress culture, focusing on the application scope of pixel-level, feature-level, and...

Analysis of the integration path of contemporary costume culture and clothing design innovation in the context of big data

Online veröffentlicht: 28. Okt. 2023

Seitenbereich: -

Eingereicht: 10. Jan. 2023

Akzeptiert: 08. Mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.00844

Schlüsselwörter
Feature fusion method, Dress culture, Support vector machine, Decision function, Machine vision technology

© 2023 Yan Wu, published by Sciendo

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

Analysis of the integration path of contemporary costume culture and clothing design innovation in the context of big data

Online veröffentlicht: 28. Okt. 2023

Seitenbereich: -

Eingereicht: 10. Jan. 2023

Akzeptiert: 08. Mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.00844

SchlüsselwörterFeature fusion method, Dress culture, Support vector machine, Decision function, Machine vision technology

© 2023 Yan Wu, published by Sciendo

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

Schlüsselwörter
Feature fusion method, Dress culture, Support vector machine, Decision function, Machine vision technology