Image Registration Using Particle Filter with Combined Normalized Mutual Information and Correlation Coefficient

2018 ◽  
Author(s):  
Mugdha Pilankar ◽  
Soumyabrata Ghosh ◽  
Rohini Deshpande
Keyword(s):  
Image Registration ◽  
Mutual Information ◽  
Particle Filter ◽  
Correlation Coefficient ◽  
Normalized Mutual Information

Sonar Image Registration Based on Improved PSO and Powell Hybrid Algorithm

2012 ◽  
Vol 490-495 ◽  
pp. 1811-1815
Author(s):  
Da Wang ◽  
Hong Yu Bian
Keyword(s):  
Image Registration ◽  
Mutual Information ◽  
Hybrid Algorithm ◽  
Initial Point ◽  
Local Maximum ◽  
Normalized Mutual Information ◽  
Sonar Image ◽  
Powell Method ◽  
Search Capability ◽  
Improved Pso

In order to further improve the accuracy of the sonar image registration, a novel hybrid algorithm was proposed. It proposed the normalized mutual information as similar estimation, drawn on multi-resolution data structure based on wavelet transform, a low precision solution was solved by improved PSO algorithm, which has strong global search capability, firstly and then a high precision solution was acquired by Powell method, which has strong local search capability. The hybrid algorithm is effective to overcome the fall of local maximum mutual information function; it also improves solution’s precision. Since the hybrid algorithm is the initial point of pre-treatment, an effective solution to the Powell method dependence on the initial point. Experiments reveal that the hybrid algorithm is efficiency and effectiveness.

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