Judgment on level of maturity for tomato quality using L*a*b* color image processing
被引:0
作者:
Gejima, Y
论文数: 0引用数: 0
h-index: 0
机构:
Miyazaki Univ, Fac Agr, Miyazaki, JapanMiyazaki Univ, Fac Agr, Miyazaki, Japan
Gejima, Y
[1
]
Zhang, HG
论文数: 0引用数: 0
h-index: 0
机构:
Miyazaki Univ, Fac Agr, Miyazaki, JapanMiyazaki Univ, Fac Agr, Miyazaki, Japan
Zhang, HG
[1
]
Nagata, M
论文数: 0引用数: 0
h-index: 0
机构:
Miyazaki Univ, Fac Agr, Miyazaki, JapanMiyazaki Univ, Fac Agr, Miyazaki, Japan
Nagata, M
[1
]
机构:
[1] Miyazaki Univ, Fac Agr, Miyazaki, Japan
来源:
PROCEEDINGS OF THE 2003 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM 2003), VOLS 1 AND 2
|
2003年
关键词:
level of maturity;
tomato;
color system;
RGB;
L*a*b*;
D O I:
暂无
中图分类号:
TP24 [机器人技术];
学科分类号:
080202 ;
1405 ;
摘要:
This paper was described the judgment of Maturity for Tomato quality using color image processing. The image analysis were used RGB and L*a*b* color system. As in analyzes, the pixels count of G(36) showed the highest correlation coefficient from tomato maturity. But, the average value of a* of the tomato upper surface was more accuracy maturity index than the radical regression curve of G (36).