机构:
Beijing Technol & Business Univ, Beijing Key Lab Big Data Technol Food Safety, Beijing, Peoples R ChinaBeijing Technol & Business Univ, Beijing Key Lab Big Data Technol Food Safety, Beijing, Peoples R China
Wang, Yu
[1
]
Li, Changsheng
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Technol & Business Univ, Beijing Key Lab Big Data Technol Food Safety, Beijing, Peoples R ChinaBeijing Technol & Business Univ, Beijing Key Lab Big Data Technol Food Safety, Beijing, Peoples R China
Li, Changsheng
[1
]
机构:
[1] Beijing Technol & Business Univ, Beijing Key Lab Big Data Technol Food Safety, Beijing, Peoples R China
来源:
2018 8TH INTERNATIONAL CONFERENCE ON VIRTUAL REALITY AND VISUALIZATION (ICVRV)
|
2018年
A plant identification system which is designed to integrate local edge algorithms with other classical recognition algorithms in a prototype system is mainly composed of the following two parts. One is the system interface and another is algorithm embedding. A convenient visual environment is provided for users by this system interface, and algorithm functions and other auxiliary functions are integrated. After selecting the system integration algorithms and setting the necessary parameters, the tested plant image is automatically recognized by this system and the corresponding plant images from the database with a brief description are displayed. The tested common green images can be accurately identified and good identification results are obtained by this system.
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页码:120 / 121
页数:2
相关论文
共 4 条
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Abdulrahman M, 2014, SIG PROCESS COMMUN, P2265, DOI 10.1109/SIU.2014.6830717
[2]
Guo ZH, 2010, IEEE IMAGE PROC, P285, DOI 10.1109/ICIP.2010.5652209