| Title: | Using Cluster Analysis for Image Processing in High Speed Video Laryngoscopy |
| Authors: | Ettler, Tomáš Nový, Pavel |
| Citation: | 2020 International Conference on Applied Electronics: Pilsen, 8th – 9h September 2020, Czech Republic. |
| Issue Date: | 2020 |
| Publisher: | Západočeská univerzita v Plzni |
| Document type: | conferenceObject konferenční příspěvek |
| URI: | http://hdl.handle.net/11025/39902 |
| ISBN: | 978-80-261-0891-7 (Print) 978-80-261-0892-4 (Online) |
| ISSN: | 1803-7232 (Print) 1805-9597 (Online) |
| Keywords: | hlasivky;glottis;laryngoskopie;segmentace obrazu;shluková analýza |
| Keywords in different language: | vocal cord;glottis;laryngoscopy;image segmentation;cluster analysis |
| Abstract in different language: | This paper summarizes findings related to the problematics of glottis detection in video sequences obtained by medical examination of vocal cords by high speed videolaryngoscopy (HSV). The glottis detection is based on cluster analysis method K-means which complements the existing set of segmentation methods used in detection algorithms. This method has been tested on a large corpus of HSV sequences from clinical practice on ENT department. |
| Rights: | © Západočeská univerzita v Plzni |
| Appears in Collections: | Applied Electronics 2020 Applied Electronics 2020 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 09232826.pdf | Plný text | 862,86 kB | Adobe PDF | View/Open |
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