Aircraft Cabin Decoration Style Recommendation Algorithm Based on Machine Vision

To improve the accuracy of the aircraft cabin decoration style recommendation algorithm, an aircraft cabin decoration style recommendation algorithm based on machine vision is proposed. The outline diagram of aircraft cabin decoration style is described with the help of hog features, and the cluster...

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Autores principales:	Yongbo Yu, Heyang Tong, Denghan Wang
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Technology (General) T1-995 Science (General) Q1-390
Acceso en línea:	https://doaj.org/article/f35816ed23044e5aa97a61f502ea6a01
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id	oai:doaj.org-article:f35816ed23044e5aa97a61f502ea6a01
record_format	dspace
spelling	oai:doaj.org-article:f35816ed23044e5aa97a61f502ea6a012021-11-08T02:36:33ZAircraft Cabin Decoration Style Recommendation Algorithm Based on Machine Vision1939-012210.1155/2021/2735841https://doaj.org/article/f35816ed23044e5aa97a61f502ea6a012021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/2735841https://doaj.org/toc/1939-0122To improve the accuracy of the aircraft cabin decoration style recommendation algorithm, an aircraft cabin decoration style recommendation algorithm based on machine vision is proposed. The outline diagram of aircraft cabin decoration style is described with the help of hog features, and the clustering observation is carried out through K-means clustering algorithm to complete the feature description of aircraft cabin decoration style. The background pixels of aircraft cabin decoration are determined with the help of Gaussian mixture model method, the style feature points to be measured are updated gradient, the input aircraft cabin decoration style sequence image is compared with the background image, the difference of statistical information such as gray characteristics of pixels or straight image is analyzed, and the background preprocessing of aircraft cabin decoration style is completed. This study analyzes the basic principle and operation process of machine vision system, obtains the aircraft cabin decoration style image with the help of machine vision, calculates the weight value of recommended users, determines the number of decoration style recommendations, and completes the aircraft cabin decoration style recommendation. The experimental results show that the proposed method can effectively improve the accuracy of aircraft cabin decoration style recommendations, and it is feasible.Yongbo YuHeyang TongDenghan WangHindawi-WileyarticleTechnology (General)T1-995Science (General)Q1-390ENSecurity and Communication Networks, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology (General) T1-995 Science (General) Q1-390
spellingShingle	Technology (General) T1-995 Science (General) Q1-390 Yongbo Yu Heyang Tong Denghan Wang Aircraft Cabin Decoration Style Recommendation Algorithm Based on Machine Vision
description	To improve the accuracy of the aircraft cabin decoration style recommendation algorithm, an aircraft cabin decoration style recommendation algorithm based on machine vision is proposed. The outline diagram of aircraft cabin decoration style is described with the help of hog features, and the clustering observation is carried out through K-means clustering algorithm to complete the feature description of aircraft cabin decoration style. The background pixels of aircraft cabin decoration are determined with the help of Gaussian mixture model method, the style feature points to be measured are updated gradient, the input aircraft cabin decoration style sequence image is compared with the background image, the difference of statistical information such as gray characteristics of pixels or straight image is analyzed, and the background preprocessing of aircraft cabin decoration style is completed. This study analyzes the basic principle and operation process of machine vision system, obtains the aircraft cabin decoration style image with the help of machine vision, calculates the weight value of recommended users, determines the number of decoration style recommendations, and completes the aircraft cabin decoration style recommendation. The experimental results show that the proposed method can effectively improve the accuracy of aircraft cabin decoration style recommendations, and it is feasible.
format	article
author	Yongbo Yu Heyang Tong Denghan Wang
author_facet	Yongbo Yu Heyang Tong Denghan Wang
author_sort	Yongbo Yu
title	Aircraft Cabin Decoration Style Recommendation Algorithm Based on Machine Vision
title_short	Aircraft Cabin Decoration Style Recommendation Algorithm Based on Machine Vision
title_full	Aircraft Cabin Decoration Style Recommendation Algorithm Based on Machine Vision
title_fullStr	Aircraft Cabin Decoration Style Recommendation Algorithm Based on Machine Vision
title_full_unstemmed	Aircraft Cabin Decoration Style Recommendation Algorithm Based on Machine Vision
title_sort	aircraft cabin decoration style recommendation algorithm based on machine vision
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/f35816ed23044e5aa97a61f502ea6a01
work_keys_str_mv	AT yongboyu aircraftcabindecorationstylerecommendationalgorithmbasedonmachinevision AT heyangtong aircraftcabindecorationstylerecommendationalgorithmbasedonmachinevision AT denghanwang aircraftcabindecorationstylerecommendationalgorithmbasedonmachinevision
_version_	1718443151364980736

Aircraft Cabin Decoration Style Recommendation Algorithm Based on Machine Vision

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