Multi-modality Image Registration Using Mutual Information Based on Gradient Vector Flow

2006 ◽  
Author(s):  
Yujun Guo ◽  
Cheng-Chang Lu
Keyword(s):  
Image Registration ◽  
Mutual Information ◽  
Gradient Vector Flow ◽  
Gradient Vector

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.

Gradient Vector Flow

2020 ◽  
pp. 1-8
Author(s):  
Chenyang Xu ◽  
Jerry L. Prince
Keyword(s):  
Gradient Vector Flow ◽  
Gradient Vector
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