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.

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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.

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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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