A Markov Random Field and Adaptive Regularization Embedded Level Set Segmentation Model Solving by Graph Cuts

Table 4

Comparison of convergence rate metrics for the images in Figure 7 in the same order. The description format of the metrics is given as iteration number (CPU time (s)).

	Image #1 (256 × 256)	Image #2 (256 × 256)	Image #3 (256 × 256)
GAC	300 (22.566)	270 (18.028)	259 (18.092)
LSR	59 (6.822)	150 (13.680)	53 (6.080)
CV	131 (7.432)	218 (14.258)	83 (5.518)
FTC	33 (3.826)	66 (3.181)	29 (3.399)
LBF	291 (19.130)	466 (31.517)	178 (12.007)
LAC	400 (51.588)	900 (97.469)	225 (28.699)
LPFE	159 (10.042)	191 (11.637)	139 (9.637)
NFT	394 (41.282)	407 (42.795)	316 (33.468)
Our method	9 (0.901)	18 (1.545)	8 (0.772)