scholarly journals Foreground Extraction Combining Graph Cut and Histogram Shape Analysis

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 176248-176256
Author(s):  
Kun He ◽  
Dan Wang ◽  
Bin Wang ◽  
Ben Feng ◽  
Chenyu Li
Keyword(s):  
Shape Analysis ◽  
Graph Cut ◽  
Foreground Extraction ◽  
Histogram Shape

scholarly journals Multi-scale foreground extraction on graph cut

2019 ◽  
Vol 277 ◽  
pp. 02031
Author(s):  
Jiayi Liu ◽  
Kun He
Keyword(s):  
Shape Analysis ◽  
Graph Cut ◽  
Negative Effects ◽  
Foreground Extraction ◽  
Multi Scale ◽  
Implementation Effect ◽  
Histogram Shape

In order to improve Grab Cut implementation effect for real images, we propose a novel improvement which extends the Grab Cut in three aspects: 1) a series of edge-preserved components are generated via the TV smoothing model; 2) the number of sub-regions is estimated by histogram shape analysis to remove the negative effects on the unreasonable number of the sub-regions; 3) a segmentation termination condition is constructed by integrating the multi-scale components. The experiment result indicates that this method performs well compared to other methods based on graph cut and is insensitive to sub-regions.

Sign in / Sign up

Export Citation Format

Share Document