graph-cut

基本解釋

Lastly, extracted successfully the accurate face region using the iterative graph cut.
最后迭代地運(yùn)用圖切分算法準(zhǔn)確地分割出人臉目標(biāo)。
Two algorithms,graph cut and random walk based on graph theory,were applied to motion segmentation.
將兩種基于圖論的算法圖切割與隨機(jī)游走應(yīng)用于運(yùn)動(dòng)對象的分割。
Secondly, the graph cuts based algorithm is employed to minimize energy function and segment the foreground.
然后基于圖切割算法最小化能量函數(shù)，并對前景/背景進(jìn)行分割；
The Modified Graph Cut Model for Image Segment
圖像分割中一種改進(jìn)的圖割模型
Graph Cuts Based Active Contours(GCBAC) approach is a combination of the optimization tool of graph cuts and the iterative deformation idea of active contours.
基于圖割的活動(dòng)輪廓算法是一個(gè)結(jié)合圖割優(yōu)化工具和活動(dòng)輪廓模型迭代變形思想的目標(biāo)分割算法。