基于改进DeepLabv3+的野外露头区岩石裂缝分割算法OA

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.