徐腾飞,韩文霆,孙瑜.基于图像处理的玉米叶片含水率诊断方法研究[J].干旱地区农业研究,2013,31(1):95~100
基于图像处理的玉米叶片含水率诊断方法研究
Research on methods of diagnosing crop water-deficiency based on image processing
  
DOI:10.7606/j.issn.1000-7601.2013.01.18
中文关键词:  玉米  叶片含水率  诊断  图像处理  颜色特征提取  线 性回归
英文关键词:corn  leaf water deficiency  diagnosing  image processing  colour feature extr action  linear regression
基金项目:“十二五”国家科技支撑计划课题(2011BAD29B08) ;国家教育部、外专局111项目(B12007)
作者单位
徐腾飞 西北农林科技大学机械与电子工程学院 陕西 杨凌 712100 
韩文霆 西北农林科技大学中国旱区节水农业研究院 陕西 杨凌 712100 中国科学院水利部水土保持研究中心 陕西 杨凌 712100 
孙瑜 西北农林科技大学机械与电子工程学院 陕西 杨凌 712100 
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中文摘要:
      研究了利用数字图像处理技术进行作物叶片含水率诊 断的方法。以温室中培育的90株不同灌水量的盆栽玉米为研究对象,使用佳能IXUS110的1 2 10万像素数码相机采集离体抽穗期玉米叶片的图像信息,然后利用烘干法测量叶片样本的含 水率;利用叶片图像的灰度直方图提取叶片图像的均值、峰态、方差、歪斜度、能量、熵六 组特征值。利用提取的20组玉米叶片样本的数据,采用线性回归的方法建立均值与玉米叶片 含水率之间的关系模型;使用其余20组样本对模型进行验证,其标准差为0.021。结果表明 ,利用作物叶片灰度直方图均值参数可以对玉米的叶片含水率进行预测。
英文摘要:
      Digital image processing techniques were used to evaluate crop water stress, by cultivating 90 plants of corn with different irrigation amounts in a greenhouse. The Canon IXUS110 digital camera with 12.1 million pixels was used to capture the images of corn leaves after being picked from the plants during the heading stage, and then the moisture content of the leaves was detected by using drying method. The eigenvalues of mean, kurtosis, variance, skew degree, energy and ent ropy were calculated by using grey histogram of leaf images. The data extracted from the leaves of 20 samples were used to set up the linear regression model sh owing the relationship between the mean and the leaf moisture, and the other 20 samples were used to verify the model. The standard deviation of the validation results was 0.021. It was concluded that of the eigenvalue of mean of leaf image s could be used to predict the moisture content in corn leaves.
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