RETRACTED: Application of Intelligent Recognition Technology in Recognition of Mechanical Material Structure (Retracted Article)
被引:1
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作者:
Zhang, Xiaoyan
论文数: 0引用数: 0
h-index: 0
机构:
Yellow River Conservancy Tech Inst, Dept Mech Engn, Kaifeng 475000, Henan, Peoples R ChinaYellow River Conservancy Tech Inst, Dept Mech Engn, Kaifeng 475000, Henan, Peoples R China
Zhang, Xiaoyan
[1
]
Wang, Chensi
论文数: 0引用数: 0
h-index: 0
机构:
Yellow River Conservancy Tech Inst, Dept Mech Engn, Kaifeng 475000, Henan, Peoples R ChinaYellow River Conservancy Tech Inst, Dept Mech Engn, Kaifeng 475000, Henan, Peoples R China
Wang, Chensi
[1
]
Wu, Tao
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h-index: 0
机构:
Henan Chem Technician Coll, Kaifeng 475000, Henan, Peoples R ChinaYellow River Conservancy Tech Inst, Dept Mech Engn, Kaifeng 475000, Henan, Peoples R China
Wu, Tao
[2
]
Wang, Yanfeng
论文数: 0引用数: 0
h-index: 0
机构:
Yellow River Conservancy Tech Inst, Dept Mech Engn, Kaifeng 475000, Henan, Peoples R ChinaYellow River Conservancy Tech Inst, Dept Mech Engn, Kaifeng 475000, Henan, Peoples R China
Wang, Yanfeng
[1
]
机构:
[1] Yellow River Conservancy Tech Inst, Dept Mech Engn, Kaifeng 475000, Henan, Peoples R China
[2] Henan Chem Technician Coll, Kaifeng 475000, Henan, Peoples R China
来源:
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
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2022年
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2022卷
关键词:
IMAGE;
D O I:
10.1155/2022/8909122
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
In order to solve the related problems of mechanical material structure identification, the author proposes a method that integrates intelligent identification technology into mechanical material identification. Intelligent image recognition technology is based on image features, focusing on the main features of each image, and eliminates redundant input information, finds the key information needed, and completes the sorting of image information in stages to form a complete intuitive image. The experimental results show that the proposed method performs well in most cases, reaching 90.8% for coarse classification, 76.6% for medium classification, and 73.4% for fine classification. It is proved that artificial intelligence recognition technology is of great significance for the application of mechanical material structure recognition.