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author:

Shih, Jhan-Rong (Shih, Jhan-Rong.) [1]

Indexed by:

EI SCIE

Abstract:

In order to study the shortcomings of traditional manual inspection of clothing, improve the quality of clothing. A method of applying digital image processing technology in the field of textile and clothing is proposed. This method combines computer digital image technology to propose an image processing and measurement process technology based on the Labview platform. Through the effective combination of neural networks and support vector machines, methods such as deep learning can better realize the recognition and classification of clothing images. According to a random interview survey of 80 people, 78 people think that the quality of clothing is the most important, and 2 people think that beauty is the most important. The experimental results show that the digital book processing technology platform can further improve the accuracy of clothing detection.

Keyword:

Community:

  • [ 1 ] [Shih, Jhan-Rong]Fuzhou Univ Int Studies & Trade, Sch Art & Design, Fuzhou 350202, Fujian, Peoples R China

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Source :

SECURITY AND COMMUNICATION NETWORKS

ISSN: 1939-0114

Year: 2022

Volume: 2022

1 . 9 6 8

JCR@2021

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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