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Refined characterization method of micro CT scanning soil body space pore structure

A space and pore technology, applied in permeability/surface area analysis, suspension and porous material analysis, image data processing, etc.

Inactive Publication Date: 2016-07-27
NANJING UNIVERSTIY SUZHOU HIGH TECH INST +1
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Problems solved by technology

Existing methods for quantitatively characterizing the pore structure of soil include scanning electron microscopy, optical microscopy, mercury porosimetry, and low-temperature ni

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  • Refined characterization method of micro CT scanning soil body space pore structure
  • Refined characterization method of micro CT scanning soil body space pore structure
  • Refined characterization method of micro CT scanning soil body space pore structure

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[0019] Specific implementation plan

[0020] The present invention will be further described in detail below with reference to the accompanying drawings and examples of the present invention completed in accordance with the technical solutions, and the present invention is not limited to these examples.

[0021] After obtaining the tomographic image sequence of the sandy soil through the micro-CT scan, the image preprocessing is first performed, that is, the binarization process. The original tomographic sequence images obtained by micro-CT can be used for quantitative analysis of digital images after preprocessing such as image enhancement. The purpose of image enhancement is to improve the clarity of the image, suppress useless part of the information, and make the image easier to analyze. Use shared image processing software to preprocess the original tomographic sequence images.

[0022] figure 1 As shown, 1) Obtaining the micro-CT scan image sequence. After obtaining the sandy...

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Abstract

A refined characterization method for sandy soil space pores, 1) three-dimensional binary matrix representation of the image, a micro-CT binary digital image is composed of m×n pixels, and the value of each pixel is 0 or 1, the binary digital image essentially corresponds to a two-dimensional binary (0-1) matrix, each element in the matrix corresponds to each pixel in the image, and the value of the matrix element is 0 to represent the element The corresponding pixel is a pore; a value of 1 means that the corresponding pixel of the element is a particle; 2) Volume porosity and spatial pore distribution calculation, by analyzing the tomographic image sequence, the volume porosity and apparent porosity distribution of the sample are calculated . 3) To extract any slice in space, first, according to the positions and ranges of the beginning and end ends of the slice, determine the beginning and end rows and columns of the REV three-dimensional binary matrix, and use them as the first and last row vectors of the slice binary matrix; then according to the direction of the slice , which in turn determine the other row vectors in the faceted binary matrix.

Description

technical field [0001] The invention belongs to the field of engineering geology and relates to digital image processing technology, in particular to a binary three-dimensional matrix characterization of soil three-dimensional space pore structure and a quantitative analysis method thereof. Background technique [0002] As a basic component of soil mesostructure, pore structure is an intrinsic index that reflects changes in soil physical and mechanical properties. Existing methods for quantitatively characterizing soil pore structure include scanning electron microscopy, optical microscopy, mercury porosimetry, and low-temperature nitrogen adsorption. Since the actual physical and mechanical behavior of soil has spatial characteristics, it is necessary to further develop new methods for characterizing the three-dimensional pore structure of soil. Contents of the invention [0003] The purpose of the present invention is to propose a method capable of finely characterizing...

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Application Information

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IPC IPC(8): G01N15/08G01N23/04G06T7/00
CPCG01N15/08G01N23/04G06T7/0004G06T2207/30132
Inventor 张巍梁小龙唐心煜徐炎达肖瑞施斌
Owner NANJING UNIVERSTIY SUZHOU HIGH TECH INST
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