Density-adaptive region growing for rock mass discontinuities identification
WU Shunchuan
YANG Zhoufeng
HAN Longqiang
SUN Jiabao
JIANG Bingrong
Abstract：To achieve accurate identification of rock mass discontinuities,a density-adaptive im-proved region growing algorithm was proposed to address the poor performance of conventional region growing methods on 3D point clouds with highly non-uniform density and fixed global thresholds.Based on the local point-cloud density,adaptive threshold functions were construc-ted,and a post-processing strategy combining small-cluster filtering and an unclassified-point voting scheme under smoothness and coplanarity constraints was designed to enhance the geo-metric continuity of the extracted discontinuities.In addition,hyperbolic tangent functions were employed to achieve smooth transition adjustment of the curvature threshold and the nor-mal-angle threshold.Sedimentary rock and orthoquartzite slope outcrop point-cloud datasets were used for comparative experiments and engineering verification.The results show that the average dip error and dip-direction error of the identified discontinuities sets range from 0.24° to 2.60°and from 0.43°to 2.90°,respectively,which satisfies engineering accuracy require-ments.This study provides an effective approach for parameter self-adaptive adjustment in dis-continuities identification from 3D point clouds.
Keywords：rock mass discontinuitiesaccurate identification3D point cloudsdensity-adap-tiveimproved region growing algorithm
Publication Date：2025-11-30
Online Publishing Date：2026-01-09(First online date of this platform, not the publication date of the document)
Pages：13( 1434-1446 )