Paper Info
Title
Composite endoscope images from massive inner intestine photos
Abstract
This paper presented an image reconstruction method for a capsule endoscope. The proposed method constructs a 3-D model of the intestine using massive images obtained from the capsule endoscope. It merges all images and yields a complete 3-D model of the intestine. This 3-D model is reformed as a 2-D plane image showing the inner side of the entire intestine. The proposed image composition has been evaluated using the OpenGL 3-D simulator. The composite image provides an easy-to-understand view for examining the intestine. In addition, it provides fast track-and-check diagnosis using the 3-D model implementation.
Year
DOI
Venue
2007
10.1007/978-3-540-73325-6_104
IEA/AIE
Keywords
Field
DocType
3-d model implementation,opengl 3-d simulator,3-d model,entire intestine,massive image,composite image,2-d plane image,composite endoscope image,massive inner intestine photo,complete 3-d model,capsule endoscope,image reconstruction method,image reconstruction
Bio informatics,Iterative reconstruction,Endoscope,Computer vision,Computer graphics (images),Computer science,Composite number,Composite image filter,Model implementation,Artificial intelligence,Entire intestine,OpenGL
Conference
Volume
ISSN
Citations 
4570
0302-9743
0
PageRank 
References 
Authors
0.34
7
5
Name
Order
Citations
PageRank
Eunjung Kim100.34
Kwan-Hee Yoo22812.18
Jehoon Lee3379.61
Yongdae Kim41944125.44
Younggap You5267.97