 | | Mechanics of Solids
A Journal of Russian Academy of Sciences | | Founded
in January 1966
Issued 6 times a year
Print ISSN 0025-6544
Online ISSN 1934-7936 |
Archive of Issues
| Total articles in the database: | | 13088 |
| In Russian (Èçâ. ÐÀÍ. ÌÒÒ): | | 8125
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| In English (Mech. Solids): | | 4963 |
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| Xuan Tang, Chong Shi, Tong Li, and Wei Qiao, "A New Method for Extracting Structural Planes Based on A* Algorithm and Region Growing," Mech. Solids. 60 (1), 749-761 (2025) |
| Year |
2025 |
Volume |
60 |
Number |
1 |
Pages |
749-761 |
| DOI |
10.1134/S0025654424607183 |
| Title |
A New Method for Extracting Structural Planes Based on A* Algorithm and Region Growing |
| Author(s) |
Xuan Tang (Key Laboratory of Ministry of Education for Geomechanics and Embankment Engineering, Hohai University, Nanjing, 210024 China; Institute of Geotechnical Research, Hohai University, Nanjing, 210024 China, tang.xuan@hotmail.com)
Chong Shi (Key Laboratory of Ministry of Education for Geomechanics and Embankment Engineering, Hohai University, Nanjing, 210024 China; Institute of Geotechnical Research, Hohai University, Nanjing, 210024 China; College of Hydraulic and Civil Engineering, Xinjiang Agricultural University, Urumqi, 830052 China; Xinjiang Key Laboratory of Water Conservancy Engineering Safety and Water Disaster Prevention and Control, Xinjiang Agricultural University, Urumqi, Xinjiang, 830052 China, scvictory@xjau.edu.cn)
Tong Li (Key Laboratory of Ministry of Education for Geomechanics and Embankment Engineering, Hohai University, Nanjing, 210024 China; Institute of Geotechnical Research, Hohai University, Nanjing, 210024 China)
Wei Qiao (College of Hydraulic and Civil Engineering, Xinjiang Agricultural University, Urumqi, 830052 China;Xinjiang Key Laboratory of Water Conservancy Engineering Safety and Water Disaster Prevention and Control, Xinjiang Agricultural University, Urumqi, Xinjiang, 830052 China) |
| Abstract |
The attitude and morphology of structural planes in rock masses decisively affect the properties of the macroscopic medium, and their identification and quantification pose a significant challenge in microscopic analysis. Based on the combination of the A* algorithm and region growing
method, a new method for the extraction and quantification analysis of 2D fractures on structural
planes is proposed in this paper. Firstly, the method of digital image processing techniques is used to
perform weighted averaging and cubic transformation of grayscale values on fracture images. Secondly, the A* algorithm is used to find the seed points inside the fractures, and region growing is
applied to obtain the initial binary image of the fractures. Then, morphological methods and an automatic hole-filling algorithm are employed to smooth, fill holes, and remove noise from the initial fractures, resulting in a complete binary image of the fractures. Finally, an iterative binary image algorithm
is used to extract the skeleton of the fractures, and parameters such as fracture length, width, area, and
azimuth are calculated by utilizing both the complete fracture binary image and its skeleton. The
method was programmed using MATLAB platform to obtain the fracture parameters easily. Compared to the commonly used combined Otsu algorithm and region growing algorithm, the method
proposed in this paper effectively reduces the impact of noise and uneven illumination, showing significant improvement in the segmentation of non-fracture areas with grayscale values similar to those
of fractures. The method can achieve better segmentation effect and more accurate parameters
extraction despite the presence of fine cracks with more interference in the background. |
| Keywords |
A* algorithm, structural planes, fractures, image segmentation, region growing algorithm |
| Received |
24 December 2024 | Revised |
25 January 2025 | Accepted |
27 January 2025 |
| Link to Fulltext |
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