WCE video segmentation using textons

Giovanni Gallo; Eliana Granata

doi:10.1117/12.840690

12 March 2010 WCE video segmentation using textons

Giovanni Gallo, Eliana Granata

Proceedings Volume 7623, Medical Imaging 2010: Image Processing; 76230X (2010) https://doi.org/10.1117/12.840690
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

Abstract

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.

Citation Download Citation

Giovanni Gallo and Eliana Granata "WCE video segmentation using textons", Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76230X (12 March 2010); https://doi.org/10.1117/12.840690

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