Fast object-based image registration using principal component analysis for super-resolution imaging

2008 ◽  
Author(s):  
T. Celik ◽  
Kai-Kuang Ma
Keyword(s):  
Principal Component Analysis ◽  
Image Registration ◽  
Super Resolution ◽  
Principal Component ◽  
Component Analysis ◽  
Object Based ◽  
Resolution Imaging

scholarly journals Robust Adaptive Principal Component Analysis Based on Intergraph Matrix for Medical Image Registration

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Chengcai Leng ◽  
Jinjun Xiao ◽  
Min Li ◽  
Haipeng Zhang
Keyword(s):  
Principal Component Analysis ◽  
Image Registration ◽  
Medical Image ◽  
Principal Component ◽  
Component Analysis ◽  
Common Structure ◽  
The Common ◽  
Robust Adaptive ◽  
Adaptive Principal Component Analysis ◽  
Structure Patterns

This paper proposes a novel robust adaptive principal component analysis (RAPCA) method based on intergraph matrix for image registration in order to improve robustness and real-time performance. The contributions can be divided into three parts. Firstly, a novel RAPCA method is developed to capture the common structure patterns based on intergraph matrix of the objects. Secondly, the robust similarity measure is proposed based on adaptive principal component. Finally, the robust registration algorithm is derived based on the RAPCA. The experimental results show that the proposed method is very effective in capturing the common structure patterns for image registration on real-world images.

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