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For splitting an image, a segmentation scheme using k-means clustering is used to over-segment the original image because it is known to give a good segmentation result and time efficiency.
Nevertheless, good segmentation results were achieved in all cases.
(3) High color homogeneity with high color contrast indicates a good segmentation.
It not only produces a good segmentation boundary, but also avoids oversegmentation.
To obtain good segmentation, one must select the membership function that can best interpret the image.
This method shows to be highly efficient, giving good segmentation results in short times.
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Both figures show good segmentations of tumors of various shapes, sizes, and locations.
From Fig. 5, the RCC-Net produces qualitatively good segmentations, even for the scenes which are heavily cluttered.
However, we found that the aforementioned features lead to very good segmentations for the whole range of OFs that we investigated.
Figure 3 shows some representative and some less-good segmentation results for various methods on MSRC-21, and Table 1 gives the pixel level accuracies of our algorithms (top line) and various others (bottom line) on MSRC-21.
For a good quality segmentation, ρ=1, whereas for a poor quality segmentation, ρ=0, which needs to be enhanced by the fine segmentation to be presented in the next module.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com