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 language | English |
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Title of host publication | IDT 2016 - Proceedings of the International Conference on Information and Digital Technologies 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 173-179 |
Number of pages | 7 |
ISBN (Electronic) | 9781467388603 |
DOIs | |
Publication status | Published - Aug 31 2016 |
Event | 2016 International Conference on Information and Digital Technologies, IDT 2016 - Rzeszow, Poland Duration: Jul 5 2016 → Jul 7 2016 |
Other
Other | 2016 International Conference on Information and Digital Technologies, IDT 2016 |
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Country | Poland |
City | Rzeszow |
Period | 7/5/16 → 7/7/16 |
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Signal Processing