Paper
11 March 2011 Motion analysis for duplicate frame removal in wireless capsule endoscope
Author Affiliations +
Proceedings Volume 7962, Medical Imaging 2011: Image Processing; 79621T (2011) https://doi.org/10.1117/12.877627
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States
Abstract
Wireless capsule endoscopy (WCE) has been intensively researched recently due to its convenience for diagnosis and extended detection coverage of some diseases. Typically, a full recording covering entire human digestive system requires about 8 to 12 hours for a patient carrying a capsule endoscope and a portable image receiver/recorder unit, which produces 120,000 image frames on average. In spite of the benefits of close examination, WCE based test has a barrier for quick diagnosis such that a trained diagnostician must examine a huge amount of images for close investigation, normally over 2 hours. The main purpose of our work is to present a novel machine vision approach to reduce diagnosis time by automatically detecting duplicated recordings caused by backward camera movement, typically containing redundant information, in small intestine. The developed technique could be integrated with a visualization tool which supports intelligent inspection method, such as automatic play speed control. Our experimental result shows high accuracy of the technique by detecting 989 duplicate image frames out of 10,000, equivalently to 9.9% data reduction, in a WCE video from a real human subject. With some selected parameters, we achieved the correct detection ratio of 92.85% and the false detection ratio of 13.57%.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hyun-Gyu Lee, Min-Kook Choi, and Sang-Chul Lee "Motion analysis for duplicate frame removal in wireless capsule endoscope", Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 79621T (11 March 2011); https://doi.org/10.1117/12.877627
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CITATIONS
Cited by 10 scholarly publications and 4 patents.
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KEYWORDS
Optical flow

Endoscopes

Video

Motion analysis

Cameras

Endoscopy

Intestine

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