scholarly journals A Parallel Point Matching Algorithm for Landmark Based Image Registration Using Multicore Platform

2009 ◽  
pp. 936-947
Author(s):  
Lin Yang ◽  
Leiguang Gong ◽  
Hong Zhang ◽  
John L. Nosher ◽  
David J. Foran
Keyword(s):  
Image Registration ◽  
Point Matching ◽  
Matching Algorithm

A Novel Point-Matching Algorithm Based on Fast Sample Consensus for Image Registration

2015 ◽  
Vol 12 (1) ◽  
pp. 43-47 ◽  
Author(s):  
Yue Wu ◽  
Wenping Ma ◽  
Maoguo Gong ◽  
Linzhi Su ◽  
Licheng Jiao
Keyword(s):  
Image Registration ◽  
Point Matching ◽  
Matching Algorithm

Multi-Modal Medical Image Registration of by Combining Improved Mean Shift and RPM

2012 ◽  
Vol 239-240 ◽  
pp. 1472-1475
Author(s):  
Dan Ai ◽  
Jing Li Shi ◽  
Jun Jun Cao ◽  
Hong Yan Zhong
Keyword(s):  
Image Registration ◽  
Medical Image ◽  
Mean Shift ◽  
Decisive Role ◽  
Experimental Results ◽  
Medical Image Registration ◽  
Image Content ◽  
Point Matching ◽  
Target Mode ◽  
Convergence Process

Landmark correspondence plays a decisive role in the landmark-based multi-modality image registration. We combine RPM (Robust Point Matching) and improved Mean Shift to estimate the correspondence of landmarks in images. We improve the target mode and bandwidth used in Mean Shift, and we also perform RPM to estimate the initial landmark correspondence. Next, we use improved Mean Shift to adjust corresponding relations between points. Our method is benefit to make corresponding relations between points more accurate and impels the convergence process of RPM to be related to the image content. Experimental results show that our method can achieve accurate registration of the multi-modal images.

Scatter Search for the Point-Matching Problem in 3D Image Registration

2008 ◽  
Vol 20 (1) ◽  
pp. 55-68 ◽  
Author(s):  
Oscar Cordón ◽  
Sergio Damas ◽  
Jose Santamaría ◽  
Rafael Martí
Keyword(s):  
Image Registration ◽  
Scatter Search ◽  
3D Image ◽  
Matching Problem ◽  
Point Matching ◽  
3D Image Registration
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