The aim of this thesis is to design an algorithm for an automatic track counting of an image of etched track detector made of CR-39 polymer. Tracks are produced by alpha particles. Chemically etched detector is imaged using a microscope resulting in 64 images of segments on the surface of the detector. Circle shaped tracks in the images have to be detected and counted. This thesis evaluates the utilization of circle hough transform for circle detection. The final software should automate a detector track counting and should also account for defects in the image and contamination of detector surface. The software will produce a measurement report with a total track count in each segment.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:318170 |
| Date | January 2017 |
| Creators | Galbavý, Juraj |
| Contributors | Levek, Vladimír, Novotný, Radovan |
| Publisher | Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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