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土壤表面不平度分形特性的图像分析方法
引用本文:侯占峰,韩进玉,韩宝生. 土壤表面不平度分形特性的图像分析方法[J]. 农机化研究, 2012, 0(1): 64-66
作者姓名:侯占峰  韩进玉  韩宝生
作者单位:内蒙古农业大学机电工程学院
基金项目:内蒙古自然科学基金项目(2010KS0718)
摘    要:研究了分形几何理论和图像处理技术在土壤表面不平度分形维数计算方法中的应用。利用分形几何的相关理论针对图像预处理后的表面形貌的图像数据建立数学模型,得到可以表征土壤表面不平度的分形参数。为此,共选择了3种不同耕作方式的土壤表面作为研究对象,运用自行设计的程序进行了表面分形维数的计算。结果表明:不同类型表面的分形维数相差较大,利用分形维数能够进行土壤表面不平度的有效表征,同时能对不同类型的土壤表面进行准确分类。

关 键 词:土壤  图像  分形维数

Application to Fractal Theory in Study on the Image of Soil Surface Roughness
Hou Zhanfeng,Han Jinyu,Han Baosheng. Application to Fractal Theory in Study on the Image of Soil Surface Roughness[J]. Journal of Agricultural Mechanization Research, 2012, 0(1): 64-66
Authors:Hou Zhanfeng  Han Jinyu  Han Baosheng
Affiliation:(School of Mechanical and Electrical Engineering,Inner Mongolia Agricultural University,Hohhot 010018,China)
Abstract:This paper has researched and studied the image processing technology,then designed and built the image capture system.Using the system to capture the image of tillage soil surface appearance,and then use the theory related to the fractal geometry to establish the mathematical model of the surface appearance image data which has been processed by image pretreatment system,obtain the parameters D based on the fractal theory.Three tillage soil surfaces were picked out and fractal dimension were calculated using the program.The result is that fractal dimension of different soil are widely discrepant,so soils can be correctly detected by fractal dimension.
Keywords:soil  image  fractal dimension
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