计算机与数字工程2026，Vol.54Issue(3)：634-639,6.DOI:10.3969/j.issn.1672-9722.2026.03.009
基于改进DeepLabv3+的野外露头区岩石裂缝分割算法
An Improved DeepLabv3+based Rock Fracture Segmentation Algorithm for Outcrop Areas
王婷婷 1张梦柳 1赵万春2
作者信息
- 1. 东北石油大学电气信息工程学院 大庆 163318
- 2. 东北石油大学石油工程学院 大庆 163318
- 折叠
摘要
Abstract
Exploring the distribution of rock fractures in outcrop areas in the field has an important guiding role for geological exploration of fractured oil and gas reservoirs.Aiming at the problem that traditional image processing methods are difficult to accu-rately extract fractures,this paper proposes an improved DeepLabv3+outcrop rock fracture segmentation algorithm.This algorithm uses a lighter weight Mobilenetv2 network in the encoder section to extract features to reduce model parameters.At the same time,the dense connection method is used to optimize the ASPP module,which enhances the ability to segment the edge of the fissure while increasing the receptive field.The Focal loss function is used to correct the imbalance between fractures and different rock backgrounds in the data.Experimental results on rock fracture data sets in outcrop areas show that the improved DeepLabv3+algo-rithm has higher fracture segmentation accuracy than the original algorithm,with an increase in Mean accuracy of 5.3%and an in-crease in MIoU of 1.6%,making it more accurate for fracture segmentation.关键词
图像语义分割/岩石裂缝识别/深度学习/DeepLabv3+Key words
image semantic segmentation/identification of rock fractures/deep learning/DeepLabv3+分类
信息技术与安全科学引用本文复制引用
王婷婷,张梦柳,赵万春..基于改进DeepLabv3+的野外露头区岩石裂缝分割算法[J].计算机与数字工程,2026,54(3):634-639,6.
