Segmentation method for pruned branches of dwarfing apple trees during winter dormancy period based on improved U-Net
In response to the low efficiency of manual and semi-automatic pruning operations in dwarfing apple trees during the winter dormancy period,based on the U-Net network model,an improved U-Net network model was constructed by combining VGG16 with U-Net.Using VGG16 as the upsampling feature extraction network,the attention mechanism SEnet was used to enhance the image fea-ture extraction ability,improve segmentation accuracy,and then fuse with the downsampling extracted image features to achieve the end-to-end image segmentation effect.The results showed that the MIoU and MPA of the SE2 network model(improved U-Net net-work model)on the test set were greater than those of the original U-Net network model;in the SE2 network model,when r=8,the MIoU of the test set,MPA of the test set,Fscore of the training set,and Fscore of the test set were all the highest,with values of 89.59%,94.17%,0.942 806,and 0.944 506,respectively;the performance of the SE2 network model(r=8)was validated on the test bench,and it was found that the segmentation performance of the SE2 network model(r=8)was good.
improved U-Netnetwork modelwinter dormancy perioddwarfing apple treespruned branchessegmentation method
万方数据
维普
