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Fig 1.

The segmentation results of simple image using (14).

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Fig 2.

The segmentation result of uneven intensity image using (14).

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Fig 3.

Comparison between the Bilateral filtering and the Gaussian filtering for a synthetic image.

(a) Original image. (b) The Gaussian filtering. (c) The Bilateral filtering.

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Fig 4.

Illustration of regions Ωk, Ωs and Ωl.

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Fig 5.

Segmentation results of partial images.

column 1: initial contour. column 2 to 3: intermediate segmentation results. column 4: final segmentation results.

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Fig 5 Expand

Table 1.

The permissible range of length term μ, k and ω used in Fig 5.

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Table 1 Expand

Fig 6.

Comparisons for a tubal angiography image with varying initial contours.

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Fig 7.

Comparisons for a vessel image with variying initial contours.

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Fig 8.

Comparisons for an airplane image with varying initial contours.

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Fig 9.

Comparisons for a synthetic image with varying initial contours.

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Table 2.

Iterations \ execution time(s) of Figs 69.

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Table 2 Expand

Fig 10.

Ground truth invented mannually of (a) Fig 6, (b) Fig 7, (c) Fig 8 and (d) Fig 9.

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Table 3.

The JSC and DSC of different models for Figs 69.

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Table 3 Expand

Fig 11.

Experiments on standard database.

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Fig 12.

Comparison of various models in terms the JSC.

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Fig 13.

Comparison of various models in terms the DSC.

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Table 4.

The JSC and DSC of different models for Fig 11.

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