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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Hindawi Limited
2021
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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) |
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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 |
_version_ |
1718418291205079040 |