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...
Published in: | 2023 4th International Conference on Intelligent Design, ICID 2023 |
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Institute of Electrical and Electronics Engineers Inc.
2023
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184851531&doi=10.1109%2fICID60307.2023.10396799&partnerID=40&md5=6fcb1f7cb938210626ece8ff0e8f36ac |
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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 |
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2023 4th International Conference on Intelligent Design, ICID 2023 |
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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. |
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Institute of Electrical and Electronics Engineers Inc. |
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English |
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Conference paper |
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scopus |
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Scopus |
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1820775449562710016 |