High-level verification of multi-object segmentation

In this paper we present a relational analysis and verification of multi-labeled images as a result fo semantic segmentation. In semantic segmentation the result is a set of labeled regions but rarely this result is subject to verification that would allow to determine induce the reliability of this...

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Bibliographic Details
Published in2016 International Conference on Information and Digital Technologies (IDT) pp. 173 - 179
Main Authors Lukac, Martin, Zhurtanov, Almas, Ospanova, Aizhan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2016
Subjects
Feature extraction
Histograms
Image segmentation
Machine learning algorithms
Semantics
Shape
Support vector machines
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Summary:In this paper we present a relational analysis and verification of multi-labeled images as a result fo semantic segmentation. In semantic segmentation the result is a set of labeled regions but rarely this result is subject to verification that would allow to determine induce the reliability of this segmentation. We show that using shape measure, co-occurrence statistics and specially crafted weighted function we can estimate the correctness of a semantic segmentation up to 92%.
DOI:10.1109/DT.2016.7557169