Review on Grain Quantity Recognition Methods Based on Computer Vision

被引：0
|
作者：
Li, Xiuhua [1 ,2 ]
Wu, Wenfu [1 ]
Zhuang, Xinyao [2 ]
Song, Liming [1 ,2 ]
机构：
[1] Jilin Univ, Sch Biol & Agr Engn, Changchun 130022, Jilin, Peoples R China
[2] Changchun Univ Technol, Sch Comp Sci & Engn, Changchun 130012, Jilin, Peoples R China
来源：
2012 IEEE FIFTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI) | 2012年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In grain reserve automatic supervision and audit, the inevitable trend is automatic recognition of grain quantity based on computer vision. To the drawbacks of present grain quantity measurement methods, this paper brought forward a new recognition method based on laser and three-dimensional reconstruction for bulk warehouse. It summarized the implementation process of present methods based on image recognition, and analyzed the principle of the method raised by this paper. At last it compared them, and looked into the future of automatic grain quantity recognition.
引用
收藏
页码：665 / 668
页数：4
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