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 |
|---|---|
| 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 |
|---|---|
| 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
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Lukac, M., Zhurtanov, A., & Ospanova, A. (2016). High-level verification of multi-object segmentation. In IDT 2016 - Proceedings of the International Conference on Information and Digital Technologies 2016 (pp. 173-179). [7557169] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DT.2016.7557169