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Journals
International Journal of Advanced Network, Monitoring and Controls
Volume 3 (2018): Issue 4 (January 2018)
Open Access
Analysis and Design of Image Segmentation Algorithm Based on Super-pixel and Graph Cut
Feng Xiao
Feng Xiao
and
Hao Sun
Hao Sun
| Oct 14, 2019
International Journal of Advanced Network, Monitoring and Controls
Volume 3 (2018): Issue 4 (January 2018)
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Published Online:
Oct 14, 2019
Page range:
25 - 30
DOI:
https://doi.org/10.21307/ijanmc-2019-017
Keywords
Interactive Segmentation
,
Super-Pixel
,
Graph Cut
,
Maximum Flow/ Minimum Cut
,
K-Means
,
SLIC
© 2018 Feng Xiao et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Figure 1.
Image (a) segmentation result of different superpixels with the 32compact factor
Figure 2.
Image (a) different compact coefficient segmentation results when the number of superpixels is 64
Figure 3.
Network of terminal vertices and ordinary vertices
Figure 4.
Maximum flow minimum cut diagram
Figure 5.
Algorithm flowchart
Figure 6.
Relationship between recall rate and accuracy
Figure 7.
Relationship between K value and recall rate
Figure 8.
Relationship between K value and accuracy diagram
Figure 9.
Relationship between the number of super pixels and the accuracy rate