1) Apple color grading
苹果颜色分级
1.
In order to eliminate the shortcomings in apple color grading,such as slow speed and high error rate,a novel fast intelligent grading method is presented based on the improved particle swarm optimization(PSO) algorithm with adaptive inertia weight and the neural computation technology.
为克服在苹果颜色分级中存在的速度慢、误差大等缺点,基于再现群智能的粒子群进化算法和神经计算技术,提出了一种新颖、快速的智能分级方法,即首先通过计算机视觉技术获取苹果表面颜色的色度,并提取其特征;然后采用改进的带自适应惯性权值的粒子群优化算法训练神经网络结构,最后用训练好的神经网络进行苹果颜色分级。
2) color sorting of fruit
水果颜色分级
3) Apple grading
苹果分级
4) apple grader
苹果分级机
5) apple grader
苹果分级器
6) color grading
颜色分级
1.
S-CIELAB and its application in color grading;
S-CIELAB及颜色分级应用
2.
Application of BP neural networks based on particle swarm optimization in apple color grading
基于PSO的BP网络在苹果颜色分级中的应用
3.
In order to implement grading quickly, accurately and automatically, a color grading method based on perceptually uniform color space is put forward according to human vision system characteristics.
自动视觉检测是机器视觉的一个重要研究领域 ,而颜色分级是自动视觉检测中的一个典型问题 ,在陶瓷、木材等行业应用广泛。
补充资料：环境效应和遗传效应两个品种的苹果颜色不同
乔守怡摄
[图]
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条