FTVDFull-Term Vaginal Delivery
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In order to have a fair comparison between FTVD based method and our method, the regularization parameter [lambda] is chosen to be = 5 x [10.sup.-4] from the row 3 to 5.
The code of FTVD is obtained from the web site: http://www.caam.rice .edu/~optimization/L1/ftvd.
In this subsection, some experiments are performed for observing the numerical behavior of FISTA and FTVD in various penalty parameters.
For the outcomes of the variance of SSIM, FTVD based method is better than other methods.
The TV minimization scheme for deblurring color images was first introduced in [46], and since then several alternatives have been proposed: in [78] the authors proposed an algorithm that considered the HSV color model, in [79] an algorithm based on a dual formulation (similar to Chambolle's [53]) was proposed (only the denoising case was considered), [80] presented an extension to [79] with a dual/alternate algorithm, in [81] the IRN algorithm [59] was modified to handle vector-valued images (this algorithm is related to the IRLS algorithm for vector-valued datasets, see [6]), and in [82] the FTVd algorithm [62, 76] was extended to handle vector-valued images.
Mode of delivery Number Vaginal delivery 62 RepeatLSCS 38 Total 100 TABLE 7: COMPARISION STYDY Mode of delivery Total = 62 100% FTVD with episiotomy 32 51.61% Forceps 1 1.61% Vacuum 29 46.77% Total 62 100% Table 8: complications associated with ventouse and forceps delivery Sr.