Research on image recognition method of rock and soil porous media based on dithering algorithm

Hao Zhang,Hewen Liu,Jinyong Bai

doi:10.1051/e3sconf/202128301025

Hao Zhang, Hewen Liu + Show 1 more

Open Access

https://doi.org/10.1051/e3sconf/202128301025

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Abstract

Rock-soil mass is a kind of material with complex internal structure, and its macro-mechanical response and failure process are influenced by internal microscopic composition and structure. Based on the research results of digital image technology in quantitative aspects of internal structure of rock and soil, a method for segmentation of rock and soil pore images based on dithering algorithm and statistical method for multiple parameters of pores is proposed in this paper. The result of verification shows that the pore recognition method proposed in this paper is reliable, can obtain the pore distribution and related parameters quickly and effectively, which has certain academic value and research significance.

Highlights

Rock-soil mass is a kind of porous medium material with complicated internal structure
For different detection methods and types of samples, scholars have done a lot of research on the application of digital image technology to geotechnical materials
In view of the segmentation of pore images, a set of quantitative analysis methods for digital images of microstructures of rock and soil materials is proposed in this paper, which can avoid the problem of threshold selection, identify the pores and statistics of related parameters

Summary

Introduction

Rock-soil mass is a kind of porous medium material with complicated internal structure. The quantitative measurement of the mesostructure of rock and soil materials is the basis for establishing a reasonable calculation and analysis model[1]. For different detection methods and types of samples, scholars have done a lot of research on the application of digital image technology to geotechnical materials. Li Jiansheng[5] and Yang Baohua[6] borrowed digital image processing technology to analyze CT images, and proposed methods for identifying and calculating pores. In view of the segmentation of pore images, a set of quantitative analysis methods for digital images of microstructures of rock and soil materials is proposed in this paper, which can avoid the problem of threshold selection, identify the pores and statistics of related parameters

Introduction to dithering algorithm

Pore identification and parameter statistics

Pore recognition effect detection

Conclusion