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Image Based Leaf Area Measurement Method Using Artificial Neural Network

机译:基于图像的人工神经网络叶面积测量方法

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Leaf area is an important parameter in plant monitoring. An automatic method for measuring leaf area is needed to obtain accurate result. In this paper, a method for automatic leaf area measurement from image is proposed. The method captured the image of leaf without object reference. Four features were extracted from the image and used as input to artificial neural network for estimating leaf area. The experiment results show that the proposed method can measure leaf area with mean absolute relative error less than 1% and less computational time.
机译:叶面积是植物监测中的重要参数。需要一种自动测量叶面积的方法以获得准确的结果。本文提出了一种从图像自动测量叶面积的方法。该方法捕获没有对象参考的叶子图像。从图像中提取了四个特征,并将其用作人工神经网络的估计叶面积的输入。实验结果表明,该方法可以测量平均绝对相对误差小于1%,计算时间短的叶片面积。

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