scholarly journals Multi-dimensional Mutual Information Based Robust Image Registration Using Maximum Distance-Gradient-Magnitude

2005 ◽  
pp. 210-221 ◽  
Author(s):  
Rui Gan ◽  
Albert C. S. Chung
Keyword(s):  
Image Registration ◽  
Mutual Information ◽  
Maximum Distance ◽  
Gradient Magnitude ◽  
Robust Image

scholarly journals Maximum distance-gradient for robust image registration

2008 ◽  
Vol 12 (4) ◽  
pp. 452-468 ◽  
Author(s):  
R GAN ◽  
A CHUNG ◽  
S LIAO
Keyword(s):  
Image Registration ◽  
Maximum Distance ◽  
Robust Image

scholarly journals Robust Image Registration Based on Mutual Information Measure

2012 ◽  
Vol 03 (02) ◽  
pp. 175-178 ◽  
Author(s):  
Witold Kosiński ◽  
Paweł Michalak ◽  
Piotr Gut
Keyword(s):  
Image Registration ◽  
Mutual Information ◽  
Information Measure ◽  
Robust Image

TU-CD-BRA-02: Comparing Mutual Information and Gradient Magnitude Metrics for Deformable Image Registration

2015 ◽  
Vol 42 (6Part32) ◽  
pp. 3606-3606
Author(s):  
I Gertsenshteyn ◽  
N Tyagi ◽  
R Farjam ◽  
A Apte ◽  
G Sharp
Keyword(s):  
Image Registration ◽  
Mutual Information ◽  
Deformable Image Registration ◽  
Gradient Magnitude

A Novel Coarse-to-Fine Scheme for Automatic Image Registration Based on SIFT and Mutual Information

2014 ◽  
Vol 52 (7) ◽  
pp. 4328-4338 ◽  
Author(s):  
Maoguo Gong ◽  
Shengmeng Zhao ◽  
Licheng Jiao ◽  
Dayong Tian ◽  
Shuang Wang
Keyword(s):  
Image Registration ◽  
Mutual Information ◽  
Coarse To Fine

SAR Image Registration Using Ratio Mutual Information

2012 ◽  
Vol 241-244 ◽  
pp. 2630-2637
Author(s):  
Chun Rong Wei ◽  
Chu He ◽  
Hong Sun
Keyword(s):  
Image Registration ◽  
Mutual Information ◽  
Speckle Noise ◽  
Synthetic Aperture Radar Image ◽  
Reference Image ◽  
Sar Image ◽  
Local Maxima ◽  
Characteristic Quantity ◽  
Registration Algorithm ◽  
Image Registration Algorithm

In order to reduce the noise sensitivity of the SAR (synthetic aperture radar) image registration, a image registration algorithm which basing on the ratio mutual information (RatioMI) is proposed in this paper. Firstly, the ratio images of the reference image and the floating image are gotten by using the ratio operator, and then take the two ratio images as a similar characteristic quantity to construct the similarity measure function which was used in the optimization process of the image registration experiment. The experimental results of the SAR image registration show that the new registration algorithm which based on the RatioMI is effectively in avoiding the local maxima point problems causing by speckle noise.

Self-similarity weighted mutual information: A new nonrigid image registration metric

2014 ◽  
Vol 18 (2) ◽  
pp. 343-358 ◽  
Author(s):  
Hassan Rivaz ◽  
Zahra Karimaghaloo ◽  
D. Louis Collins
Keyword(s):  
Image Registration ◽  
Mutual Information ◽  
Self Similarity ◽  
Nonrigid Image Registration
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