A novel method for informative frame selection in wireless capsule endoscopy video.

Wireless capsule endoscopy (WCE) has been validated to be an important tool in the evaluation of gastrointestinal (GI) tract. Compared with traditional endoscope technologies, its non-invasiveness property meets with great favor of patients. However, from physician's point of view, WCE video suffers from low resolution, limited illumination, irregular movement, more importantly, imbalanced rate of abnormality which brings a lot of challenges for diagnosis. These challenges motivate us to devise an approach to guide the physicians to focus on the informative frames which could be convenient for review of the content of the GI tract. This paper presents a novel approach for automatic selection of the WCE video frames with lumen and coherent motility. We adopt lumen detection based on mean shift to provide robust and reliable selection of lumen. Together with the evaluation of coherent motility, we can provide a full and fast approach to select the informative frames for diagnosis. The experiments on real date are presented to show the performance of our proposed method.