基于图象处理方法的牧草根系分形维数估算  

Estimation of Root Fractal Dimension Based on Image Processing Method

作　　者：谢可军 文乐元 

机构地区：[1]湖南省农业资源与环境保护管理站,湖南长沙410005 [2]湖南省畜牧水产技术推广站,湖南长沙410005

出　　处：《草业与畜牧》2008年第4期28-29,36,共3页Pruataculture & Animal Husbandry

基　　金：国家自然科学基金资助项目(50175101)

摘　　要：应用图象处理方法,给出了根系分形维数估计的网格计数法,得到了相应的算法,同时用Java实现了该算法,为根系研究提供了一种新的思路和方法。在此基础之上,计算了多年生黑麦草(Lolium perenne L.)根系的分形维数,与实测数据基本吻合,此方法可用于多种植物根系的分形维数计算。Using image processing method, the grid-counting method and algorithm of root fractal dimension estimation were given, and the software using Java was developed, which provided a new approach to study root. On this basis, ryegrass＇s （Lolium perenne L.） root fractal dimension was computed, and its results were closely fit to the real measurement. This method can be used to compute the root fractal dimension of many plants.

关 键 词：分形维数 图象处理 根系 网格计数法 

分 类 号：S126[农业科学—农业基础科学]