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Input image Algorithm Iterations CPU time (s) LBF 598 80.794 Image number 1 LIF 808 98.521 LGDF 536 91.095 MLBF 46 0.577 LBF 758 96.905 Image number 2 LIF 800 87.217 LGDF 653 94.755 MLBF 62 0.623 LBF 300 34.843 Image number 3 LIF 450 40.935 LGDF 500 72.443 MLBF 23 0.249 LBF 550 53.426 Image number 4 LIF 650 65.756 LGDF 250 29.558 MLBF 25 0.211 LBF 450 58.080 Image number 5 LIF 598 64.185 LGDF 200 32.690 MLBF 21 0.234 LBF 520 22.102 Image number 6 LIF 550 27.404 LGDF 260 18.687 MLBF 27 0.133
We observe from Figure 5 that RSF, Li's, LGDF, and Wang's models successfully extract the object when images are corrupted by noise of lower strength, while the other two models can segment both objects from all noisy images successfully.
Figure 7(a) represents original image with initial contours, whereas the segmentation results obtained by RSF method, Li's method, LGDF method, Zhang's method, Wang's method, and our method are shown from Figure 7(b) to Figure 7(g), respectively.
In this paper, we propose a novel LGDF model based on local entropy to simultaneously correct the bias field and segment the images.
(c)-(h) show the segmentation result by RSF model, Li's model, LGDF model, Zhang's model, Wang's model, and our method.
(b)-(g) show the segmentation result by RSF model, Li's model, LGDF model, Zhang's model, Wang's model, and our method.
"I don't think we'd be talking about it even now if the LGDF hadn't been touched," he said.
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