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Dynamic subsampling for image registration speedup using the mutual information variance estimate

Koen Douterloigne UGent, Jonas De Vylder UGent and Wilfried Philips UGent (2012) IEEE International Conference on Image Processing ICIP. p.2961-2964
abstract
Intensity based image registration methods are necessary in situations where feature point based methods fail, e.g multispectral images or images with repetitive textures. However the higher robustness comes at the cost of being slower than the feature point alternative. This problem can be alleviated by subsampling the pixels used to calculate the intensity matching criterion. Unfortunately there are no guidelines for the amount of allowed subsampling. In this paper we present a model for a lower bound on the number of pixel samples in image sets to keep a certain confidence about the correctness of the result, using the variance on the estimated mutual information value. With this model we can speed up the intensity based registration while remaining confident about getting correct results.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
mutual information, image sampling, Image registration
in
IEEE International Conference on Image Processing ICIP
issue title
2012 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2012)
pages
2961 - 2964
publisher
IEEE
place of publication
Piscataway, NJ, USA
conference name
IEEE International Conference on Image Processing (ICIP - 2012)
conference location
Orlando, Florida, USA
conference start
2012-09-30
conference end
2012-10-03
Web of Science type
Proceedings Paper
Web of Science id
000319334902245
ISBN
9781467325325
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
3029085
handle
http://hdl.handle.net/1854/LU-3029085
date created
2012-10-15 16:00:07
date last changed
2013-10-22 11:03:41
@inproceedings{3029085,
  abstract     = {Intensity based image registration methods are necessary in situations where feature point based methods fail, e.g multispectral images or images with repetitive textures. However the higher robustness comes at the cost of being slower than the feature point alternative. This problem can be alleviated by subsampling the pixels used to calculate the intensity matching criterion. Unfortunately there are no guidelines for the amount of allowed subsampling. In this paper we present a model for a lower bound on the number of pixel samples in image sets to keep a certain confidence about the correctness of the result, using the variance on the estimated mutual information value. With this model we can speed up the intensity based registration while remaining confident about getting correct results.},
  author       = {Douterloigne, Koen and De Vylder, Jonas and Philips, Wilfried},
  booktitle    = {IEEE International Conference on Image Processing ICIP},
  isbn         = {9781467325325},
  keyword      = {mutual information,image sampling,Image registration},
  language     = {eng},
  location     = {Orlando, Florida, USA},
  pages        = {2961--2964},
  publisher    = {IEEE},
  title        = {Dynamic subsampling for image registration speedup using the mutual information variance estimate},
  year         = {2012},
}

Chicago
Douterloigne, Koen, Jonas De Vylder, and Wilfried Philips. 2012. “Dynamic Subsampling for Image Registration Speedup Using the Mutual Information Variance Estimate.” In IEEE International Conference on Image Processing ICIP, 2961–2964. Piscataway, NJ, USA: IEEE.
APA
Douterloigne, K., De Vylder, J., & Philips, W. (2012). Dynamic subsampling for image registration speedup using the mutual information variance estimate. IEEE International Conference on Image Processing ICIP (pp. 2961–2964). Presented at the IEEE International Conference on Image Processing (ICIP - 2012), Piscataway, NJ, USA: IEEE.
Vancouver
1.
Douterloigne K, De Vylder J, Philips W. Dynamic subsampling for image registration speedup using the mutual information variance estimate. IEEE International Conference on Image Processing ICIP. Piscataway, NJ, USA: IEEE; 2012. p. 2961–4.
MLA
Douterloigne, Koen, Jonas De Vylder, and Wilfried Philips. “Dynamic Subsampling for Image Registration Speedup Using the Mutual Information Variance Estimate.” IEEE International Conference on Image Processing ICIP. Piscataway, NJ, USA: IEEE, 2012. 2961–2964. Print.