数字图像处理技术在苎麻缺素诊断中的应用研究  

Digital image processing techniques in the diagnosis of ramie deficiency's application and research

作　　者：邱伟[1] 彭佳红[1] 刘瑶[1] 

机构地区：[1]湖南农业大学信息科学技术学院,湖南长沙410128

出　　处：《湖南农机》2014年第4期69-70,72,共3页Hunnan Agricultural Machinery

摘　　要：数字图像处理技术在农业上有着广泛的应用前景,是重要的农业信息化技术之一。文章阐述了图像处理技术在苎麻缺素诊断中图像预处理、特征值提取,诊断预测的应用过程,并对叶片图像分割的相关方法和纹理特征的提取算法进行了介绍。为指导科学施肥和监测苎麻的生长信息提供一定依据。As one of important agricultural informationize technology, digital image processing technology has a good extensive application prospect in agriculture. It expounds the application process of image processing technology on image preprocessing, eigenvalue extraction and diagnosis and prediction on diagnosis nutritional deficiency of ramie and introduces the correlation method of leaf images segmentation and extraction algorithm of texture feature in hope for offering certain basis on instructing scientific fertilization and monitoring the growth information of ramie.

关 键 词：苎麻 缺素 图像分割 特征值 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]