Paper Info
Title
Motion analysis for duplicate frame removal in wireless capsule endoscope
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%.
Year
DOI
Venue
2011
10.1117/12.877627
Proceedings of SPIE
Keywords
Field
DocType
WCE (Wireless Capsule Endoscopy),Optical flow estimation,Classical NL,Regional ego-motion,Reducing diagnosis time,Region statistics,Motion classification
Endoscope,Computer vision,False detection,Wireless,Machine vision,Visualization,Wireless capsule endoscope,Artificial intelligence,Motion analysis,Capsule endoscopy,Physics
Conference
Volume
ISSN
Citations 
7962
0277-786X
4
PageRank 
References 
Authors
0.47
0
3
Name
Order
Citations
PageRank
Hyun-Gyu Lee1215.77
Min-Kook Choi2193.47
Sangchul Lee3278.35