Eggplant classification using artificial neural network

被引：0
|
作者：
Saito, Y [1 ]
Hatanaka, T [1 ]
Uosaki, K [1 ]
Shigeto, K [1 ]
机构：
[1] Mitsubishi Elect, Sanda Factory, Sanda, Hyogo 6691513, Japan
来源：
PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2003, VOLS 1-4 | 2003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：
Recently there have been developed automatic grading and sorting systems for fruits and vegetables. In this paper, eggplant grading system using image processing and artificial neural network is considered. The lighting conditions are discussed for taking color components of the eggplant image effectively. The shape parameters such as length, girth, etc. are measured using image processing. On the other hand, bruises of the eggplants are detected and classified based on the color information by using artificial neural network. Some experimental results are presented for illustration.
引用
收藏
页码：1013 / 1018
页数：6
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