基于SFS的土壤三维结构恢复及孔隙度计算

doi:10.3864/j.issn.0578-1752.2013.23.011

Abstract

Abstract: 【Objective】In order to calculate the characteristics of soil structure and porosity quickly and accurately, a method based on SFS algorithm (shape from shading) is proposed for 3D reconstruction of soil. 【Method】This method deduced the illumination equation based on Lambertian surface reflection model, and then solved this equation for working out the pixels’ height of soil’s gray microscope images with the method of Taylor expansion and Jacobi iteration. 【Result】Experimental results demonstrate that compared with the soil porosity measured by soil sampler and baking, this method has a result with 0.81% less and 1.75% error rate. 【Conclusion】The proposed method, by using soil microscope images’ 3D information, could calculate the soil physical characteristics like porosity more objectively and accurately.

Key words: soil micromorphology , SFS , 3D reconstruction , soil porosity , normal distribution

WANG Xiao, WEN Wei-Liang, GUO Xin-Yu, WANG Chuan-Yu. 3D Reconstruction and Porosity Computing of Soil Based on SFS Algorithm[J].Scientia Agricultura Sinica, 2013, 46(23): 4950-4956.

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