Optimization of Machine Vision for Tomato Grafting Robot

被引：11
|
作者：
Tian, Subo [1 ,2 ]
Ashraf, M. A. [3 ]
Kondo, N. [2 ]
Shiigi, T. [2 ]
Momin, M. A. [4 ]
机构：
[1] Shenyang Agr Univ, Coll Engn, Shenyang 110866, Peoples R China
[2] Kyoto Univ, Grad Sch Agr, Div Environm Sci & Technol, Kyoto 6068502, Japan
[3] Bangladesh Agr Univ, Dept Farm Struct, Mymensingh 2202, Bangladesh
[4] Bangladesh Agr Univ, Dept Farm Power & Machinery, Mymensingh 2202, Bangladesh
来源：
SENSOR LETTERS | 2013年 / 11卷 / 6-7期
基金：
中国国家自然科学基金;
关键词：
Grafting Robot; Lighting; Machine Vision; Sorting; Inspection; SEEDLINGS; CULTIVATION; VEGETABLES; SYSTEM;
D O I：
10.1166/sl.2013.2899
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
In order to develop fully-automatic grafting robot for tomato seedlings, the machine vision system for sorting grafting seedling and inspecting grafted seedling was studied. In this paper, the devices and different lighting (Front lighting, Backlight, and both Front lighting and Backlight) of machine vision system were optimized and selected. The result shows that Blue Backlight without filter device is best for both sorting and inspecting seedlings. Then the images of sorting and inspecting seedlings were acquired using the selected machine vision system and processed by the program. Experiment results show the success rate on processing the images of sorting seedlings can reach 96% and even the gap of 0.2 mm between scion and rootstock can be found easily when inspecting grafted seedling.
引用
收藏
页码：1190 / 1194
页数：5
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