High-level verification of multi-object segmentation

Martin Lukac, Almas Zhurtanov, Aizhan Ospanova

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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%.

Original languageEnglish
Title of host publicationIDT 2016 - Proceedings of the International Conference on Information and Digital Technologies 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages173-179
Number of pages7
ISBN (Electronic)9781467388603
DOIs
Publication statusPublished - Aug 31 2016
Event2016 International Conference on Information and Digital Technologies, IDT 2016 - Rzeszow, Poland
Duration: Jul 5 2016Jul 7 2016

Other

Other2016 International Conference on Information and Digital Technologies, IDT 2016
CountryPoland
CityRzeszow
Period7/5/167/7/16

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing

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