Paper Info
Title
Deformable registration for generating dissection image of an intestine from annular image sequence
Abstract
Examination inside an intestine by an endoscope is difficult and time consuming, because the whole image of the intestine cannot be taken at one time due to the limited field of view. Thus, it is necessary to generate a dissection image, which can be obtained by extending the image of an intestine. We acquire an annular image sequence with an omnidirectional or wide-angle camera, and then generate the dissection image by mosaicing the image sequence. Though usual mosaicing techniques transform an image by perspective or affine transformations, these are not suitable for our situation because the target object is a generalized cylinder and the camera motion is unknown a priori. Therefore, we propose a novel approach for image registration that deforms images by a two-dimensional-polynomial function which parameters are estimated from optical flow. We evaluated our method by registering annular image sequences and we successfully generated dissection images, as presented in this paper.
Year
DOI
Venue
2005
10.1007/11569541_28
CVBIA
Keywords
Field
DocType
image registration,image sequence,dissection image,usual mosaicing technique,wide-angle camera,camera motion,deforms image,deformable registration,time consuming,whole image,annular image sequence,affine transformation,field of view,optical flow
Computer vision,Image warping,Motion field,Feature detection (computer vision),Pattern recognition,Computer science,Image processing,Artificial intelligence,Image restoration,Optical flow,Image registration,Homography (computer vision)
Conference
Volume
ISSN
ISBN
3765
0302-9743
3-540-29411-2
Citations 
PageRank 
References 
4
0.49
13
Authors
4
Name
Order
Citations
PageRank
Suchit Pongnumkul140.49
Ryusuke Sagawa263152.61
Tomio Echigo334825.41
Yasushi Yagi41752186.22