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In addition, sizing algorithm with FA was also discovered to outperform sizing algorithm with selected computational intelligence in producing the lowest computation time in the sizing optimization.
Method SG is the least accurate but is the easiest to implement with lowest computation cost.
Thus, the lowest computation complexity detection mechanism will be preferred.
Moreover, the expression of ([16]], Eq. 13) has the lowest computation time while the expression of ([14]], Eq. 20) has the highest.
The experimental results show that the proposed method consumes the lowest computation time for all image sizes as shown in Figure 20 and Table 5. Figure 20 Performance of each algorithm with varying size of the image.
The experimental results show that the proposed method consumes the lowest computation time in six out of nine densities as shown in Figure 22 and Table 6. Figure 21 Sample collection of random images, in this case shown at 32 × 32 resolution, to which a variation on the threshold is performed in order to produce different densities of labels.
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Although prevalent within computer science applications due to their low computation time, both algorithms have seen little use within the Non-Destructive Evaluation (NDE) field.
Also, the computational effectiveness of the proposed design procedure is confirmed by the low computation time of the associated LMI optimization problem.
The proposed algorithm has low computation complexity as it takes low computation time to segment the OD over existing methods.
Method G is a compromise between the two methods, providing acceptable accuracy and low computation cost.
Thus, kriging is used to obtain low computation time estimations of the model outputs.
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