Segmentation of Intensity-Corrupted Medical Images Using Adaptive Weight-Based Hybrid Active Contours

Table 3

Comparison of the proposed method with other methods over the PH² database [33].

Method	Accuracy	Iterations	CPU time (s)
C-V Model [2]	87.7	20	4.622
LBF [3]	86.5	50	12.577
Min et al.’s Model [31]	94.9	33	18.122
FRAGL Model [34]	95.5	28	16.214
Asim et al.’s [28]	95.8	26	15.128
Proposed method	97.6	22	12.245