Xiaohui Li, Xili Wang. CV Image Segmentation Model Combining Convolutional Restricted Boltzmann Machine[J]. Laser & Optoelectronics Progress, 2020, 57(4): 041018
- Laser & Optoelectronics Progress
- Vol. 57, Issue 4, 041018 (2020)
Fig. 1. Structure of different models. (a) Structure of DBN; (b) structure of DBM; (c) structure of CRBM
Fig. 2. Sampling processes of different models. (a) DBN model; (b) DBM model; (c) CRBM model
Fig. 3. Examples of distance transformation. (a) Generated shapes; (b) contour maps; (c) sign distance functions
Fig. 4. Partial experiment images on Satellite-2000 dataset
Fig. 5. Partial experiment images on Vaihigen dataset
Fig. 6. Shape results from different models. (a)(e) Ground-truth images; (b)(f) shapes from DBN model; (c)(g) shapes from DBM model; (d)(h) shapes from CRBM model
Fig. 7. Segmentation results of different models. (a) RGB images; (b) CV model segmentation results; (c) DBN-CV model segmentation results; (d) DBM-CV model segmentation results; (e) CRBM-CV model segmentation results; (f) ground-truth images
Fig. 8. Segmentation evaluation results of different models. (a) Global acc values; (b) IOU values
Fig. 9. Average Global acc and average IOU values of different models on the Satellite-2000 dataset. (a) Average Global acc; (b) average IOU
Fig. 10. Segmentation results of different models. (a) RGB images; (b) CV model segmentation results; (c) DBN-CV model segmentation results; (d) DBM-CV model segmentation results; (e) CRBM-CV model segmentation results; (f) ground-truth images
Fig. 11. Segmentation evaluation results of different models. (a) Global acc values; (b) IOU values
Fig. 12. Average Global acc and average IOU values of different models on the Vaihigen dataset. (a) Average Global acc values ; (b) average IOU values
Fig. 13. Segmentation results on other images. (a)(d) RGB images; (b)(e) CV model segmentation results; (c)(f) CRBM-CV model segmentation results
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Table 1. Training time of different models and average Euclidean distance measure of shape results
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