Development of sorting system for fishes by feed-forward neural networks using rotation invariant features

被引：0
|
作者：
Shiraishi Y. [1 ]
Takeda F. [1 ]
机构：
[1] Kochi University of Technology, Japan
来源：
IEEJ Transactions on Electronics, Information and Systems | 2011年 / 131卷 / 02期
关键词：
Classification; Feature Extraction; Neural Network; Rotation Invariance; Two-Dimension Fast Fourier Transform;
D O I：
10.1541/ieejeiss.131.404
中图分类号：
学科分类号：
摘要：
In this research, we have developed a sorting system for fishes (shown in Fig. 1), which is comprised of a conveyance part, a capturing image part, and a sorting part. In the conveyance part, we have developed an independent conveyance system in order to separate one fish from an intertwined group of fishes. © 2011 The Institute of Electrical Engineers of Japan.
引用
收藏
页码：404 / 410
页数：6
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