摘要
经研究作物的叶绿素含量高低与株体的营养状况有关,并且在叶片纹理上有所体现。本文采用数字图像处理技术中纹理分析的空间灰度共生矩阵法寻找纹理各统计量与玉米叶片叶绿素含量的关系。实验结果表明,玉米叶片的叶绿素含量与其对应灰度共生矩阵的能量、熵特征量的相关关系较好,可以用这些特征量来估测叶片叶绿素含量,进而判断玉米的营养状况。
There is relationship between chlorophyll content and nutrition status of crop by study,which is reflected on leaves texture.In this paper,the gray-level co-occurrence matrix method is employed to investigate the connection between the texture statistics and chlorophyll content of corn leaves.The experimental results show that there is cerntain correlation between the chlorophyll content of corn leaves and its corresponding gray level co-occurrence matrix＇s energy and entropy.And then the chlorophyll content can be estimated by these features to judge the nutritional condition of the corn.
出处
《微计算机信息》
2010年第10期106-108,共3页
Control & Automation
基金
基金申请人:张彦娥
项目名称:基于近地成像光谱的植物生长信息无损检测技术研究
基金颁发部门:国家科技部"863"计划办公室(2007AA10Z207)
关键词
图像纹理
灰度共生矩阵
玉米叶片
叶绿素含量
image texture grey level co-occurrence matrix leaves of maize chlorophyll content
