Fig 1.
(a) U-Net Model. (b) Layer set 1. (c) Layer set 2.
Fig 2.
Sample training images in the dataset.
Table 1.
The proposed model parameter setup.
Fig 3.
Loss comparison of proposed model.
Fig 4.
Accuracy comparison of proposed model.
Fig 5.
Mean IoU comparison of the proposed model.
Fig 6.
Segmented results of proposed model.
Fig 7.
Schematic representation of the performance analysis with various model and various datasets.
Table 2.
Performance analysis with various model.
Table 3.
The computational analysis of the proposed model.