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Distinction between sugar beet and weeds based on shape characteristics using image processing technique

机译：利用图像处理技术根据形状特征区分甜菜和杂草

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摘要

The distinction between sugar beet and three kinds of weeds, green amaranth, wild buckwheat and field horsetail, were tried based on the shape characteristics using the image processing technique. This would be applied to the development of the automatic thinner and weeding machine system for the direct sowing sugar beet. The linear discriminant function, which was based on the six shape characteristics, was produced for the distinction. The correct distinction rate of sugar beet was 85.7%, however, there were distinction errors of sugar beet as green amaranth and wild buckwheat as sugar beet. These error rates resulted in 11.3% and 13.6%, respectively. New characteristics of the angle of the leaf tip portion were introduced to reduce errors. The final results showed that the correct distinction rate of sugar beet was 87.2% and the error was reduced to less than 8%.
机译：根据甜菜的形状特征，利用图像处理技术对甜菜与三种杂草（，菜，野荞麦和野马尾）进行了区分。这将用于直接播种甜菜的自动稀释剂和除草机系统的开发。为了区分，产生了基于六个形状特征的线性判别函数。甜菜的正确鉴别率为85.7％，但是，甜菜的鉴别误差为绿a菜，而野生荞麦的鉴别误差为甜菜。这些错误率分别导致11.3％和13.6％。引入了叶尖部分角度的新特性以减少误差。最终结果表明，甜菜的正确鉴别率为87.2％，误差减少到8％以下。

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