The thesis describe issue of segmentation and classification of Petri dishes colored images. There is proposed a segmentation method that extracts positions of cells from the image. Another techniques focues on classification to groups according to the parameters obtained from images. Reliability of each optimalized algorithm is tested on database containing 250 colored images received from company BioVendor Instruents a.s.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:316829 |
| Date | January 2017 |
| Creators | Herodes, Jakub |
| Contributors | Odstrčilík, Jan, Chmelík, Jiří |
| 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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