Image segmentation for EDS coloring in scanning electron microscopy – Bc. Jakub Balga
Bc. Jakub Balga
Master's thesis
Image segmentation for EDS coloring in scanning electron microscopy
Image segmentation for EDS coloring in scanning electron microscopy
Abstract:
Cílem této diplomové práce je navrhnout efektivní způsob segmentace obrazu pro snímky ze skenovacího elektronového mikroskopu (SEM). Účelem této segmentace je zlepšení přesnosti detekce složení vzorku a následné obarvení SEM snímku za použití dat z energeticky disperzní rentgenové spektroskopie (EDS). První část práce popisuje proces EDS barvení, možnosti detekce složení a roli segmentace obrazu v …moreAbstract:
The aim of this master thesis is to design an effective way of image segmentation for images from a scanning electron microscope (SEM). The purpose of this segmentation is an improvement of composition detection accuracy and subsequent SEM image staining with the usage of energy-dispersive X-ray spectroscopy data (EDS). The first part of the thesis provides description of the EDS coloring process, …more
Language used: English
Date on which the thesis was submitted / produced: 16. 5. 2023
Identifier:
https://is.muni.cz/th/gfeyr/
Thesis defence
- Date of defence: 21. 6. 2023
- Supervisor: prof. RNDr. Michal Kozubek, Ph.D.
- Reader: Mgr. Karel Štěpka, Ph.D.
Citation record
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatikyMasaryk University
Faculty of InformaticsMaster programme / field:
Artificial intelligence and data processing / Machine learning and artificial intelligence
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