Recognition Algorithm of Popular Elements of Ethnic Minority Traditional Clothing Based on PCA

Image recognition of ethnic minority costumes is helpful for people to understand, carry forward, and inherit national culture. Taking the minority clothing image as the research object, the image enhancement and threshold segmentation are completed; the principal component features of the minority...

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Autor principal: Hu Juan
Formato: article
Lenguaje:EN
Publicado: Hindawi Limited 2021
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Acceso en línea:https://doaj.org/article/806696ccd1a04c0a9b682c9b0fb717d5
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spelling oai:doaj.org-article:806696ccd1a04c0a9b682c9b0fb717d52021-11-22T01:11:21ZRecognition Algorithm of Popular Elements of Ethnic Minority Traditional Clothing Based on PCA1875-919X10.1155/2021/4834944https://doaj.org/article/806696ccd1a04c0a9b682c9b0fb717d52021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/4834944https://doaj.org/toc/1875-919XImage recognition of ethnic minority costumes is helpful for people to understand, carry forward, and inherit national culture. Taking the minority clothing image as the research object, the image enhancement and threshold segmentation are completed; the principal component features of the minority clothing image are extracted by PCA method; and the image matching degree is obtained according to the principle of minimizing the Euclidean distance. Finally, the calculation process of the PCA method is optimized by a wavelet transform algorithm to realize the recognition of popular elements of minority traditional clothing. The comparative experimental results show that the PCA + BP neural network algorithm is better than the other two recognition algorithms in recognition rate and recognition time.Hu JuanHindawi LimitedarticleComputer softwareQA76.75-76.765ENScientific Programming, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Computer software
QA76.75-76.765
spellingShingle Computer software
QA76.75-76.765
Hu Juan
Recognition Algorithm of Popular Elements of Ethnic Minority Traditional Clothing Based on PCA
description Image recognition of ethnic minority costumes is helpful for people to understand, carry forward, and inherit national culture. Taking the minority clothing image as the research object, the image enhancement and threshold segmentation are completed; the principal component features of the minority clothing image are extracted by PCA method; and the image matching degree is obtained according to the principle of minimizing the Euclidean distance. Finally, the calculation process of the PCA method is optimized by a wavelet transform algorithm to realize the recognition of popular elements of minority traditional clothing. The comparative experimental results show that the PCA + BP neural network algorithm is better than the other two recognition algorithms in recognition rate and recognition time.
format article
author Hu Juan
author_facet Hu Juan
author_sort Hu Juan
title Recognition Algorithm of Popular Elements of Ethnic Minority Traditional Clothing Based on PCA
title_short Recognition Algorithm of Popular Elements of Ethnic Minority Traditional Clothing Based on PCA
title_full Recognition Algorithm of Popular Elements of Ethnic Minority Traditional Clothing Based on PCA
title_fullStr Recognition Algorithm of Popular Elements of Ethnic Minority Traditional Clothing Based on PCA
title_full_unstemmed Recognition Algorithm of Popular Elements of Ethnic Minority Traditional Clothing Based on PCA
title_sort recognition algorithm of popular elements of ethnic minority traditional clothing based on pca
publisher Hindawi Limited
publishDate 2021
url https://doaj.org/article/806696ccd1a04c0a9b682c9b0fb717d5
work_keys_str_mv AT hujuan recognitionalgorithmofpopularelementsofethnicminoritytraditionalclothingbasedonpca
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