Image Registration with a Modified Quantum-Behaved Particle Swarm Optimization

2011 ◽  
Author(s):  
Yu Bao ◽  
Jun Sun
Keyword(s):  
Particle Swarm Optimization ◽  
Image Registration ◽  
Particle Swarm ◽  
Swarm Optimization

scholarly journals Hybrid 3D Dynamic Measurement by Particle Swarm Optimization and Photogrammetric Tracking

2013 ◽  
Vol 13 (6) ◽  
pp. 298-304 ◽  
Author(s):  
M. Shahbazi
Keyword(s):  
Particle Swarm Optimization ◽  
Image Registration ◽  
Linear Optimization ◽  
Particle Swarm ◽  
Optimization Methods ◽  
Three Dimensions ◽  
Image Correlation ◽  
Motion Modeling ◽  
Swarm Optimization ◽  
Pixel Image

Abstract High-accuracy motion modeling in three dimensions via digital images has been increasingly the matter of interest in photogrammetry and computer vision communities. Although accurate sub-pixel image registration techniques are the key elements of measurement, they still demand enhanced intelligence, autonomy, and robustness. In this paper, a new correlationbased technique of stereovision is proposed to perform inter-frame feature tracking, inter-camera image registration, and to measure the 3D state vector of features simultaneously. The developed algorithm is founded on population-based intelligence (particle swarm optimization) and photogrammetric modeling. The proposed technique is mainly aimed at reducing the computational complexities of non-linear optimization methods of digital image registration for deformation measurement, and passing through 2D image correlation to 3D motion modeling. The preliminary results have illustrated the feasibility of this technique to detect and measure sub-millimeter deformations by performing accurate, sub-pixel image registration.

scholarly journals Hybrid Particle Swarm Optimization and Its Application to Multimodal 3D Medical Image Registration

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Chen-Lun Lin ◽  
Aya Mimori ◽  
Yen-Wei Chen
Keyword(s):  
Particle Swarm Optimization ◽  
Image Registration ◽  
Medical Image ◽  
Particle Swarm ◽  
Optimization Techniques ◽  
Optimization Approach ◽  
Medical Image Registration ◽  
Swarm Optimization ◽  
Hybrid Particle ◽  
Hybrid Particle Swarm Optimization

In the area of medical image analysis, 3D multimodality image registration is an important issue. In the processing of registration, an optimization approach has been applied to estimate the transformation of the reference image and target image. Some local optimization techniques are frequently used, such as the gradient descent method. However, these methods need a good initial value in order to avoid the local resolution. In this paper, we present a new improved global optimization approach named hybrid particle swarm optimization (HPSO) for medical image registration, which includes two concepts of genetic algorithms—subpopulation and crossover.

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