Environmental protection clothing design and materials based on green design concept

This paper explores the integration of eco-friendly materials in clothing design to maintain high-quality and aesthetically pleasing interior clothing design. Texture, as a fundamental element in images, reveals surface characteristics and aids in visual interpretation. The paper introduces an enhan...
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Autor*in:	Cuiyu Yang [verfasserIn] Xianglei Zhang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	green design concept environmental protection materials clothing design textural features environmental design

Übergeordnetes Werk:	In: Frontiers in Materials - Frontiers Media S.A., 2014, 10(2023)
Übergeordnetes Werk:	volume:10 ; year:2023

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fmats.2023.1225289

Katalog-ID:	DOAJ096756055

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author	Cuiyu Yang
spellingShingle	Cuiyu Yang misc green design concept misc environmental protection materials misc clothing design misc textural features misc environmental design misc Technology misc T Environmental protection clothing design and materials based on green design concept
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topic_title	Environmental protection clothing design and materials based on green design concept green design concept environmental protection materials clothing design textural features environmental design
topic	misc green design concept misc environmental protection materials misc clothing design misc textural features misc environmental design misc Technology misc T
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title	Environmental protection clothing design and materials based on green design concept
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title_sort	environmental protection clothing design and materials based on green design concept
title_auth	Environmental protection clothing design and materials based on green design concept
abstract	This paper explores the integration of eco-friendly materials in clothing design to maintain high-quality and aesthetically pleasing interior clothing design. Texture, as a fundamental element in images, reveals surface characteristics and aids in visual interpretation. The paper introduces an enhanced DCNN-based algorithm for extracting texture features from clothing materials. The algorithm addresses the limitation of moment invariants by combining them with boundary direction characteristics, enhancing its ability to capture shape and spatial distribution information across the entire image. Experimental results validate the algorithm’s effectiveness in image analysis and the extraction of apparel material texture features. Applying environmental design principles to the apparel design domain, this study offers a novel perspective on sustainable clothing design. Overall, the paper emphasizes the importance of using eco-friendly materials in clothing design for a better future.
abstractGer	This paper explores the integration of eco-friendly materials in clothing design to maintain high-quality and aesthetically pleasing interior clothing design. Texture, as a fundamental element in images, reveals surface characteristics and aids in visual interpretation. The paper introduces an enhanced DCNN-based algorithm for extracting texture features from clothing materials. The algorithm addresses the limitation of moment invariants by combining them with boundary direction characteristics, enhancing its ability to capture shape and spatial distribution information across the entire image. Experimental results validate the algorithm’s effectiveness in image analysis and the extraction of apparel material texture features. Applying environmental design principles to the apparel design domain, this study offers a novel perspective on sustainable clothing design. Overall, the paper emphasizes the importance of using eco-friendly materials in clothing design for a better future.
abstract_unstemmed	This paper explores the integration of eco-friendly materials in clothing design to maintain high-quality and aesthetically pleasing interior clothing design. Texture, as a fundamental element in images, reveals surface characteristics and aids in visual interpretation. The paper introduces an enhanced DCNN-based algorithm for extracting texture features from clothing materials. The algorithm addresses the limitation of moment invariants by combining them with boundary direction characteristics, enhancing its ability to capture shape and spatial distribution information across the entire image. Experimental results validate the algorithm’s effectiveness in image analysis and the extraction of apparel material texture features. Applying environmental design principles to the apparel design domain, this study offers a novel perspective on sustainable clothing design. Overall, the paper emphasizes the importance of using eco-friendly materials in clothing design for a better future.
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title_short	Environmental protection clothing design and materials based on green design concept
url	https://doi.org/10.3389/fmats.2023.1225289 https://doaj.org/article/98be8f4cb5064452bc1343bd0f29f47f https://www.frontiersin.org/articles/10.3389/fmats.2023.1225289/full https://doaj.org/toc/2296-8016
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