为了实现苹果分级完全自动化,研究了苹果表面缺陷图像分类方法。
To realize apple automatic grading completely, the method for classifying apple surface defect by digital image processing was researched.
为了解决木材的分级问题,提出了利用神经网络和木材表面颜色特征对木材进行分级的方法。
In order to solve the problem of grading the timber, the authors have put forward a kind of classification method by utilizing neural network and wood surface color characteristics.
葡萄干大小不一,表面情况复杂,单纯依靠颜色特征或用肉眼判断,均达不到较好的分级效果。
The raisin has different size and complicated surface, so it couldn't be graded well only by color and naked eyes.
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