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Image Based Estimation of Fruit Phytopathogenic Lesions Area

机译:基于图像植物植物疗法病变区的估算

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A method was developed to measure the surface area of walnut fruit phytopathogenic lesions from images acquired with a basic calibration target. The fruit is modelled by a spheroid, established from the 2D view ellipse using an iterative process. The method was tested with images of colour circular marks placed on a wooden spheroid. It proved effective in the estimation of the spheroid semi-diameters (average relative errors of 0.8% and 1.0%), spheroid surface (1.77%) and volume (2.71%). The computation of the colour mark surface area was within the expected error, considering the image resolution (up to about 4%), for 22 out of 28 images tested.
机译:开发了一种方法以测量用基本校准靶的图像测量核桃果实植物病变的表面积。果实由使用迭代过程从2D视图椭圆建立的球形模型。用放置在木球状体上的彩色圆形标记进行测试。它证明有效地估计球形半径(平均相对误差为0.8%和1.0%),球状面(1.77%)和体积(2.71%)。考虑到图像分辨率(高达约4%)的图像分辨率(高达约4%),颜色标记表面积的计算在预期的28张图像中进行了22个测试。

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