Xinlei Ren, Yangping Wang. Super-Pixel Segmentation of Remote Sensing Image Based on Improved Simple Linear Iterative Clustering Algorithm[J]. Laser & Optoelectronics Progress, 2020, 57(22): 222801
- Laser & Optoelectronics Progress
- Vol. 57, Issue 22, 222801 (2020)
Fig. 1. Search space of K-means and SLIC algorithm. (a) K-means algorithm; (b) SLIC algorithm
Fig. 2. Super-pixel segmentation results of SLIC algorithm. (a) Original image; (b) K=100; (c) K=300; (d) K=500
Fig. 3. Initialization process of clustering center. (a) Random selection; (b) computational gradient; (c) clustering center
Fig. 4. Super-pixel segmentation result obtained by SLIC algorithm. (a) Input image; (b) super-pixel segmentation result; (c) partial enlarged drawing
Fig. 5. Comparison of segmentation results. (a) SLIC algorithm; (b) improved algorithm
Fig. 6. Super-pixel segmentation results of different algorithms (K=100). (a) SLIC0 algorithm; (b) Ref.[23]; (c) TurboPixel algorithm; (d) SLIC algorithm; (e) our algorithm
Fig. 7. Average running time of 5 algorithms
Fig. 8. Segmentation accuracy of different algorithms. (a) UE; (b) ASA
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Table 1. Running time of 5 algorithms (K=100) unit: s
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Table 2. Edge fitting capabilities of different algorithms (K=100)
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