Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Fracture Extraction from Smooth Rock Surfaces Using Depth Image Segmentation
https://orcid.org/0000-0002-9211-5491
Abstract Due to the diversity of mineral particle features in rock, including sizes, shapes, arrangements, and structural connections, the color image of the rock sample surface at laboratory scale is quite complex. Thus, unacceptable misjudgement and information loss often occur when the traditional image processing algorithms are adopted. To improve the accuracy of fracture extraction, a method based on image processing algorithms is proposed in this paper to extract fractures from 3D point clouds. First, a high-precision original depth image is generated by gridding the rock surface point cloud data with the Kriging interpolation. The hill shading method is then applied to further clarify the fractures. Finally, the fractures are extracted from depth images and compared with color images. The results show that the integrity of the fracture skeleton is significantly improved and the error rate is reduced. In combination with color images, the physical fractures and other fracture-like features can be distinguished. The proposed method provides a new idea for extracting fractures in various destructive experiments on rocks, and may be developed for recognition of discontinuities at typical engineering scale.
Fracture Extraction from Smooth Rock Surfaces Using Depth Image Segmentation
https://orcid.org/0000-0002-9211-5491
Abstract Due to the diversity of mineral particle features in rock, including sizes, shapes, arrangements, and structural connections, the color image of the rock sample surface at laboratory scale is quite complex. Thus, unacceptable misjudgement and information loss often occur when the traditional image processing algorithms are adopted. To improve the accuracy of fracture extraction, a method based on image processing algorithms is proposed in this paper to extract fractures from 3D point clouds. First, a high-precision original depth image is generated by gridding the rock surface point cloud data with the Kriging interpolation. The hill shading method is then applied to further clarify the fractures. Finally, the fractures are extracted from depth images and compared with color images. The results show that the integrity of the fracture skeleton is significantly improved and the error rate is reduced. In combination with color images, the physical fractures and other fracture-like features can be distinguished. The proposed method provides a new idea for extracting fractures in various destructive experiments on rocks, and may be developed for recognition of discontinuities at typical engineering scale.
Fracture Extraction from Smooth Rock Surfaces Using Depth Image Segmentation
https://orcid.org/0000-0002-9211-5491
Abstract Due to the diversity of mineral particle features in rock, including sizes, shapes, arrangements, and structural connections, the color image of the rock sample surface at laboratory scale is quite complex. Thus, unacceptable misjudgement and information loss often occur when the traditional image processing algorithms are adopted. To improve the accuracy of fracture extraction, a method based on image processing algorithms is proposed in this paper to extract fractures from 3D point clouds. First, a high-precision original depth image is generated by gridding the rock surface point cloud data with the Kriging interpolation. The hill shading method is then applied to further clarify the fractures. Finally, the fractures are extracted from depth images and compared with color images. The results show that the integrity of the fracture skeleton is significantly improved and the error rate is reduced. In combination with color images, the physical fractures and other fracture-like features can be distinguished. The proposed method provides a new idea for extracting fractures in various destructive experiments on rocks, and may be developed for recognition of discontinuities at typical engineering scale.
Fracture Extraction from Smooth Rock Surfaces Using Depth Image Segmentation
Tang, Yudi (Autor:in) / He, Lei (Autor:in) / Xiao, Huaiguang (Autor:in) / Wang, Ruihua (Autor:in) / Lu, Wei (Autor:in) / Xu, Tao (Autor:in)
2021
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
BKL:
38.58
Geomechanik
/
56.20
Ingenieurgeologie, Bodenmechanik
/
38.58$jGeomechanik
/
56.20$jIngenieurgeologie$jBodenmechanik
RVK:
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