Application of Gabor Image Recognition Technology in Intelligent Clothing Design

Aiming at the complex problem of image recognition feature extraction, this paper proposes an intelligent clothing design model based on parallel Gabor image feature extraction algorithm. Based on the intelligent parallel mode, the algorithm decomposes and merges the calculation process of the image...

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Autor principal:	Sujuan Qiao
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Physics QC1-999
Acceso en línea:	https://doaj.org/article/d579179e98614d0bad579f8e4840a968
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id	oai:doaj.org-article:d579179e98614d0bad579f8e4840a968
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spelling	oai:doaj.org-article:d579179e98614d0bad579f8e4840a9682021-11-29T00:56:46ZApplication of Gabor Image Recognition Technology in Intelligent Clothing Design1687-913910.1155/2021/1097046https://doaj.org/article/d579179e98614d0bad579f8e4840a9682021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/1097046https://doaj.org/toc/1687-9139Aiming at the complex problem of image recognition feature extraction, this paper proposes an intelligent clothing design model based on parallel Gabor image feature extraction algorithm. Based on the intelligent parallel mode, the algorithm decomposes and merges the calculation process of the image Gabor transformation, decomposes the entire image Gabor feature extraction calculation process into a parallel part and a nonparallel part, and accelerates the parallel part by using multiple cores. The calculation results are then combined to achieve the purpose of multicore parallel acceleration of the entire calculation process. Secondly, based on the consideration of improving the real-time performance of the intelligent clothing design system, combined with the existing multicore environment, this paper uses the intelligent model to design and implement the image parallel Gabor feature extraction algorithm and uses image processing and analysis technology to analyze the visual elements of traditional clothing and identify and quantify to form a relatively complete clothing visual element evaluation system, which provides a basis for large-scale collection and automated evaluation of clothing visual effects, as well as clothing trend tracking and prediction. Experiments show that the algorithm can effectively shorten the calculation time of Gabor image feature extraction and can obtain a good speedup in a multicore environment. At the same time, it combines with a multiscale intelligent clothing classification algorithm, on the basis of the VS2008 platform, combined with OpenCV 2.0, designed and implemented an intelligent clothing design system, and conducted experiments and system tests. The experimental results show that the algorithm given in this paper can accurately segment fabric defects from the background, which proves that the detection algorithm has a good detection effect. Simulation results show that the algorithm proposed in this paper can more accurately identify the state of clothing features, and the real-time performance of intelligent clothing design in a multicore environment has been improved to a certain extent.Sujuan QiaoHindawi LimitedarticlePhysicsQC1-999ENAdvances in Mathematical Physics, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Physics QC1-999
spellingShingle	Physics QC1-999 Sujuan Qiao Application of Gabor Image Recognition Technology in Intelligent Clothing Design
description	Aiming at the complex problem of image recognition feature extraction, this paper proposes an intelligent clothing design model based on parallel Gabor image feature extraction algorithm. Based on the intelligent parallel mode, the algorithm decomposes and merges the calculation process of the image Gabor transformation, decomposes the entire image Gabor feature extraction calculation process into a parallel part and a nonparallel part, and accelerates the parallel part by using multiple cores. The calculation results are then combined to achieve the purpose of multicore parallel acceleration of the entire calculation process. Secondly, based on the consideration of improving the real-time performance of the intelligent clothing design system, combined with the existing multicore environment, this paper uses the intelligent model to design and implement the image parallel Gabor feature extraction algorithm and uses image processing and analysis technology to analyze the visual elements of traditional clothing and identify and quantify to form a relatively complete clothing visual element evaluation system, which provides a basis for large-scale collection and automated evaluation of clothing visual effects, as well as clothing trend tracking and prediction. Experiments show that the algorithm can effectively shorten the calculation time of Gabor image feature extraction and can obtain a good speedup in a multicore environment. At the same time, it combines with a multiscale intelligent clothing classification algorithm, on the basis of the VS2008 platform, combined with OpenCV 2.0, designed and implemented an intelligent clothing design system, and conducted experiments and system tests. The experimental results show that the algorithm given in this paper can accurately segment fabric defects from the background, which proves that the detection algorithm has a good detection effect. Simulation results show that the algorithm proposed in this paper can more accurately identify the state of clothing features, and the real-time performance of intelligent clothing design in a multicore environment has been improved to a certain extent.
format	article
author	Sujuan Qiao
author_facet	Sujuan Qiao
author_sort	Sujuan Qiao
title	Application of Gabor Image Recognition Technology in Intelligent Clothing Design
title_short	Application of Gabor Image Recognition Technology in Intelligent Clothing Design
title_full	Application of Gabor Image Recognition Technology in Intelligent Clothing Design
title_fullStr	Application of Gabor Image Recognition Technology in Intelligent Clothing Design
title_full_unstemmed	Application of Gabor Image Recognition Technology in Intelligent Clothing Design
title_sort	application of gabor image recognition technology in intelligent clothing design
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/d579179e98614d0bad579f8e4840a968
work_keys_str_mv	AT sujuanqiao applicationofgaborimagerecognitiontechnologyinintelligentclothingdesign
_version_	1718407675488763904

Application of Gabor Image Recognition Technology in Intelligent Clothing Design

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