Full metadata record
| DC pole | Hodnota | Jazyk |
|---|---|---|
| dc.contributor.author | Hargaš, Libor | |
| dc.contributor.author | Koniar, Dušan | |
| dc.contributor.author | Loncová, Zuzana | |
| dc.contributor.author | Hrianka, Miroslav | |
| dc.contributor.author | Hurtuková, Zuzana | |
| dc.contributor.author | Simonová, Anna | |
| dc.date.accessioned | 2019-09-23T11:28:34Z | - |
| dc.date.available | 2019-09-23T11:28:34Z | - |
| dc.date.issued | 2015 | |
| dc.identifier.citation | 2015 International Conference on Applied Electronics: Pilsen, 8th – 9th September 2015, Czech Republic, p.49-52. | en |
| dc.identifier.isbn | 978-80-261-0385-1 (Print) | |
| dc.identifier.isbn | 978-80-261-0386-8 (Online) | |
| dc.identifier.issn | 1803-7232 (Print) | |
| dc.identifier.issn | 1805-9597 (Online) | |
| dc.identifier.uri | http://hdl.handle.net/11025/35092 | |
| dc.format | 4 s. | cs |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | en |
| dc.publisher | Západočeská univerzita v Plzni | cs |
| dc.rights | © University of West Bohemia | en |
| dc.subject | shoda vzorů | cs |
| dc.subject | forma | cs |
| dc.subject | segmentace obrázků | cs |
| dc.subject | videosekvence | cs |
| dc.subject | biomedicínské zobrazování | cs |
| dc.subject | červené krvinky | cs |
| dc.subject | mikroskopie | cs |
| dc.title | Regular shapes detection for analysis of biomedical image sequences | en |
| dc.type | konferenční příspěvek | cs |
| dc.type | conferenceObject | en |
| dc.rights.access | openAccess | en |
| dc.type.version | publishedVersion | en |
| dc.description.abstract-translated | Segmentation of moving areas in high-speed biomedical video sequences captured by light microscope often contains some false-positive results which are generated by artifacts present in the image, e.g. air bubbles or red blood cells moving across the video. Such artifacts are common part of tissue samples under microscope. Moreover, if they closely interact with the objects of interest or they are crossing the scene, they might distort the segmentation results. In many cases these particles are of regular shape, usually circular or elliptic. This is in contrast with linear character of observed objects. There are many ways how to detect regular shapes in an image. In this paper some of them will be discussed and the results compared. | en |
| dc.subject.translated | pattern matching | en |
| dc.subject.translated | shape | en |
| dc.subject.translated | image segmentation | en |
| dc.subject.translated | video sequences | en |
| dc.subject.translated | biomedical imaging | en |
| dc.subject.translated | red blood cells | en |
| dc.subject.translated | microscopy | en |
| dc.type.status | Peer-reviewed | en |
| Vyskytuje se v kolekcích: | Applied Electronics 2015 Applied Electronics 2015 | |
Soubory připojené k záznamu:
| Soubor | Popis | Velikost | Formát | |
|---|---|---|---|---|
| Hargas.pdf | Plný text | 1,75 MB | Adobe PDF | Zobrazit/otevřít |
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