Regions matching algorithms analysis to quantify the image segmentation results
O Berezsky, G Melnyk, Y Batko… - 2016 XITH international …, 2016 - ieeexplore.ieee.org
2016 XITH international scientific and technical conference …, 2016•ieeexplore.ieee.org
In the paper the matching algorithms of region images are analyzed. The work also presents
their advantages and disadvantages. The comparing images algorithm of regions is
developed on the basis of the measured chords. The comparison regions algorithms are
used to evaluate segmentation algorithms in the Gromov-Hausdorff metric. The algorithm of
metric evaluation is developed as an example of biomedical images segmentation.
their advantages and disadvantages. The comparing images algorithm of regions is
developed on the basis of the measured chords. The comparison regions algorithms are
used to evaluate segmentation algorithms in the Gromov-Hausdorff metric. The algorithm of
metric evaluation is developed as an example of biomedical images segmentation.
In the paper the matching algorithms of region images are analyzed. The work also presents their advantages and disadvantages. The comparing images algorithm of regions is developed on the basis of the measured chords. The comparison regions algorithms are used to evaluate segmentation algorithms in the Gromov-Hausdorff metric. The algorithm of metric evaluation is developed as an example of biomedical images segmentation.
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