Neural network application to eggplant classification

被引：0
|
作者：
Saito, Y [1 ]
Hatanaka, T
Uosaki, K
Shigeto, H
机构：
[1] Mitsubishi Elect, Sanda Factory, Sanda, Hyogo 6691513, Japan
[2] Osaka Univ, Grad Sch Informat Sci & Technol, Dept Informat & Phys Sci, Suita, Osaka 5650871, Japan
[3] Tech Res Inst, Taisho, Osaka 5510022, Japan
来源：
KNOWLEDGE-BASED INTELLIGNET INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS | 2003年 / 2774卷
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 axe 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 axe detected and classified based on the color information by using artificial neural network. Some experimental results axe presented for illustration.
引用
收藏
页码：933 / 940
页数：8
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