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WCE Video Segmentation using Textons

机译：使用Textons的WCE视频分段

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摘要

Wireless Capsule Endoscopy (WCE) integrates wireless transmission with image and video technology. It has been used to examine the small intestine non invasively. Medical specialists look for signicative events in the WCE video by direct visual inspection manually labelling, in tiring and up to one hour long sessions, clinical relevant frames. This limits the WCE usage. To automatically discriminate digestive organs such as esophagus, stomach, small intestine and colon is of great advantage. In this paper we propose to use textons for the automatic discrimination of abrupt changes within a video. In particular, we consider, as features, for each frame hue, saturation, value, high-frequency energy content and the responses to a bank of Gabor filters. The experiments have been conducted on ten video segments extracted from WCE videos, in which the signicative events have been previously labelled by experts. Results have shown that the proposed method may eliminate up to 70% of the frames from further investigations. The direct analysis of the doctors may hence be concentrated only on eventful frames. A graphical tool showing sudden changes in the textons frequencies for each frame is also proposed as a visual aid to find clinically relevant segments of the video.
机译：无线胶囊内窥镜（WCE）与图像和视频技术集成无线传输。它已被用于检查小肠无弹性。医学专家在手动标记，疲惫和长达一小时的临床相关框架中，通过直接视觉检查，在WCE视频中寻找WCE视频中的患病事件。这限制了WCE的使用。自动歧视食管，胃，小肠和结肠等消化器官具有很大的优势。在本文中，我们建议使用Textons进行视频内的突然变化的自动辨别。特别地，我们考虑每个帧色调，饱和度，值，高频能量内容和对Gabor滤波器组的响应的特征。在从WCE录像中提取的十个视频段进行了实验，其中患病事件以前由专家标记。结果表明，该方法可以从进一步调查中消除高达70％的帧。因此，医生的直接分析只能集中在最终框架上。还提出了一种图形工具，显示每个帧的纹理频率的突然变化作为视觉辅助，以查找视频的临床相关段。

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