区域匹配算法分析，量化图像分割结果

2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT) Pub Date : 2016-09-01 DOI:10.1109/STC-CSIT.2016.7589862

O. Berezsky, Grygoriy Melnyk, Yuriy Batko, O. Pitsun

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引用次数: 8

摘要

本文分析了区域图像的匹配算法。该工作也提出了他们的优点和缺点。在实测和弦的基础上，提出了区域图像比较算法。比较区域算法用于评价Gromov-Hausdorff度量中的分割算法。以生物医学图像分割为例，提出了度量评价算法。

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Regions matching algorithms analysis to quantify the image segmentation results

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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2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT)

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