Identification of freshwater fish species based on fish feature point detection

被引：0
|
作者：
Zhu, Ming [1 ,2 ,3 ]
Li, Mengke [1 ,2 ]
Wan, Peng [1 ,2 ,3 ,4 ]
Xiao, Changyu [1 ,2 ]
Zhao, Junwei [1 ,2 ]
机构：
[1] College of Engineering, Huazhong Agricultural University, Wuhan,430070, China
[2] Key Laboratory of Aquaculture Facilities Engineering, Ministry of Agriculture and Rural Affairs, Wuhan,430070, China
[3] Key Laboratory of Agricultural Equipment in Mid-Lower Yangtze River, Ministry of Agriculture and Rural Affairs, Wuhan,430070, China
[4] Key Laboratory of Modern Agricultural Intelligent Equipment in South China, Ministry of Agriculture and Rural Affairs, Guangzhou,510630, China
来源：
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | 2023年 / 39卷 / 11期
关键词：
Convolution - Convolutional neural networks - Deep learning - Discriminant analysis - Extraction - Failure analysis - Feature extraction - Fish - Fisher information matrix - Image acquisition - Image enhancement - Optical character recognition - Water;
D O I：
10.11975/j.issn.1002-6819.202301096
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：155 / 164
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