聚类分析用于高速视频喉镜图像处理

2020 International Conference on Applied Electronics (AE) Pub Date : 2020-09-01 DOI:10.23919/AE49394.2020.9232826

Ettler Tomáš, Nový Pavel

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引用次数: 1

摘要

本文综述了高速视频喉镜(HSV)对声带医学检查所获得的视频序列中声门检测的相关问题。声门检测基于聚类分析方法K-means，补充了现有检测算法中使用的一组分割方法。该方法已在耳鼻喉科临床实践的大量HSV序列上进行了测试。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Using Cluster Analysis for Image Processing in High Speed Video Laryngoscopy

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.

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2020 International Conference on Applied Electronics (AE)

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