Element Extraction and Reconstruction of Lingnan Clothing Based on Machine Learning

With the rapid development of science and technology and intelligence, the development of Lingnan clothing has gradually declined, and even a crisis of extinction has occurred. In order to inherit and innovate Lingnan clothing, this paper realizes the extraction and reconstruction of Lingnan clothin...

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Published in:2023 4th International Conference on Intelligent Design, ICID 2023
Main Author: Mo L.; Aris A.B.; Zhang X.; Gu H.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184851531&doi=10.1109%2fICID60307.2023.10396799&partnerID=40&md5=6fcb1f7cb938210626ece8ff0e8f36ac
id 2-s2.0-85184851531
spelling 2-s2.0-85184851531
Mo L.; Aris A.B.; Zhang X.; Gu H.
Element Extraction and Reconstruction of Lingnan Clothing Based on Machine Learning
2023
2023 4th International Conference on Intelligent Design, ICID 2023


10.1109/ICID60307.2023.10396799
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184851531&doi=10.1109%2fICID60307.2023.10396799&partnerID=40&md5=6fcb1f7cb938210626ece8ff0e8f36ac
With the rapid development of science and technology and intelligence, the development of Lingnan clothing has gradually declined, and even a crisis of extinction has occurred. In order to inherit and innovate Lingnan clothing, this paper realizes the extraction and reconstruction of Lingnan clothing elements based on machine learning. Firstly, the intelligent extraction model of Lingnan clothing element contour is constructed based on GrabCut algorithm, and the intelligent extraction model of Lingnan clothing element color is established based on density peak clustering algorithm. Then, the shape grammar is used to construct the intelligent reconstruction model of Lingnan clothing elements, and the integrated clothing products of Lingnan clothing and modern fashion are designed. © 2023 IEEE.
Institute of Electrical and Electronics Engineers Inc.

English
Conference paper

author Mo L.; Aris A.B.; Zhang X.; Gu H.
spellingShingle Mo L.; Aris A.B.; Zhang X.; Gu H.
Element Extraction and Reconstruction of Lingnan Clothing Based on Machine Learning
author_facet Mo L.; Aris A.B.; Zhang X.; Gu H.
author_sort Mo L.; Aris A.B.; Zhang X.; Gu H.
title Element Extraction and Reconstruction of Lingnan Clothing Based on Machine Learning
title_short Element Extraction and Reconstruction of Lingnan Clothing Based on Machine Learning
title_full Element Extraction and Reconstruction of Lingnan Clothing Based on Machine Learning
title_fullStr Element Extraction and Reconstruction of Lingnan Clothing Based on Machine Learning
title_full_unstemmed Element Extraction and Reconstruction of Lingnan Clothing Based on Machine Learning
title_sort Element Extraction and Reconstruction of Lingnan Clothing Based on Machine Learning
publishDate 2023
container_title 2023 4th International Conference on Intelligent Design, ICID 2023
container_volume
container_issue
doi_str_mv 10.1109/ICID60307.2023.10396799
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184851531&doi=10.1109%2fICID60307.2023.10396799&partnerID=40&md5=6fcb1f7cb938210626ece8ff0e8f36ac
description With the rapid development of science and technology and intelligence, the development of Lingnan clothing has gradually declined, and even a crisis of extinction has occurred. In order to inherit and innovate Lingnan clothing, this paper realizes the extraction and reconstruction of Lingnan clothing elements based on machine learning. Firstly, the intelligent extraction model of Lingnan clothing element contour is constructed based on GrabCut algorithm, and the intelligent extraction model of Lingnan clothing element color is established based on density peak clustering algorithm. Then, the shape grammar is used to construct the intelligent reconstruction model of Lingnan clothing elements, and the integrated clothing products of Lingnan clothing and modern fashion are designed. © 2023 IEEE.
publisher Institute of Electrical and Electronics Engineers Inc.
issn
language English
format Conference paper
accesstype
record_format scopus
collection Scopus
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