Soil porosity detection method based on SFS (Shape from Shading) algorithm

Abstract

The invention discloses a soil porosity detection method based on an SFS (Shape from Shading) algorithm. The detection method comprises the following steps: acquiring a microscopic image of soil to be detected, and recording a light incident angle; selecting M rows and N columns of sampling pixels from the microscopic image of the soil to be detected, obtaining height values of all sampling pixels by utilizing Jacobi iterate algorithm; setting height threshold parameters, deleting the sampling pixel in the M rows and N columns of sampling pixels, wherein the difference of the height value of the deleted sampling pixel and an average height of the periphery adjacent sampling pixel is more than the height threshold, and linearly interpolating the deleted sampling pixel or region according to the height value; removing the height value with the small probability by fitting a normal distribution curve of the sampling pixel, performing height correction to the height value of each sampling pixel; and obtaining the porosity of the soil to be detected according to a porosity calculation formula. According to the soil porosity detection method based on an SFS algorithm, the soil porosity is calculated by recovering a three-dimensional structure of the soil surface; the detection method is more rapid and accurate than other methods; the test cycle of related research can be greatly shortened; and the accuracy rate of related research results can be improved.

Description

technical field [0001] The invention relates to the technical field of soil detection, in particular to a soil porosity detection method based on an SFS algorithm. Background technique [0002] Soil porosity and particle composition are important physical parameters of soil and the most basic data for soil research, especially in soil model research and geotechnical tests. Among them, the particle distribution is closely related to the soil structure and soil texture, and the porosity directly affects the migration of water and air in the soil and the growth of roots in the soil. [0003] At present, there are mainly two methods for measuring soil porosity, one is the traditional experimental method; the other is the computer graphics method. The traditional experimental method is represented by the drying method. The experimental steps are as follows: first, take the required soil sample with a ring knife and weigh it, then put it in an oven and dry it at 105°C for 24 hour...

AI Technical Summary

Problems solved by technology

The biggest limitation of the method of computer graphics to detect soil porosity is that 1) the three-dimensional information in the image is lost; 2) there is no recognized standard for the selection of the threshold, and different threshold selections will result in different porosity results. Strong dependence on experience

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