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

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