基于机器视觉的的大豆缺超氮素叶片颜色分析

【作者】 马莉莉； 房俊龙； 陈月华； 龚水朋；

【机构】 东北农业大学工程学院；

【摘要】 大豆氮元素缺失与超量是大豆营养诊断的重点研究对象,本文研究了大豆施氮量为0%、50%、100%及150%的大豆叶片在六个生长阶段的图像,通过图像预处理去除源彩色图像中的噪声、增强感兴趣的区域,采用最小误差法分割叶片与背景。选取RGB以及HIS颜色系统对大豆叶片的颜色均值进行提取,得出了区分正常大豆叶片与缺失及超量大豆叶片的标准,为缺失及超量氮素大豆叶片的诊断提供了技术依据。更多还原

【Abstract】 In this paper we collected the leaves of soybean at the different stages and different nitrogen. this paper studied the leaf images of the six stages of soybean growth,which nitrogen fertilizer applied were 0%,50%,100% and 150%.The current state of development,application and research of the image processing technology are analyzed in this thesis. The color characters of soybean leaves were analyzed using the RGB and the HSI model. Get mean value of RGB and HIS,it will provide a technical basis for the diagnosis of deficiencies and excess of nitrogen for soybean leaves.更多还原