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Journal of Applied Sciences
  Year: 2010 | Volume: 10 | Issue: 7 | Page No.: 517-525
DOI: 10.3923/jas.2010.517.525
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Optimal Approach for Neutron Images Restoration using Particle Swarm Optimization Algorithm with Regularization

S. Saadi, M. Bettayeb and A. Guessoum

In this study, we want to implement a new approach to the nonlinear degraded images restoration problem which is useful for neutron radiography gray images enhancement. We attempt to reconstruct or recover an image that has been degraded, using some a priori knowledge of the degradation phenomenon. Our approach is based on using swarm intelligence optimization algorithms such as particles swarm (PSO) to solve a least squares minimization ill-posed problem. Many works have been done using intelligence techniques, ranging from neural networks, fuzzy logic and evolutionary algorithms, to swarm intelligence that we will try to use to minimize the Total Variation (TV). Instead of the standard Tikhonov regularization method which is most often used and to get smoothed images in presence of noise, a Laplacian constraint is introduced for regularization purposes. Using some image quality metrics such as Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR), we can judge that PSO algorithm yields excellent results and good efficiency in noisy images restoration. These results indicate that the use of particle swarm optimization algorithm enables us to perform neutron radiography images restoration properly.
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  •    Development of Stand Alone Application Tool for Analyzing and Reporting Weld Imperfection Captured by μ-focussed Digital Radiography using MATLAB-based GUI
  •    Automatic Tissue Segmentation in Medical Images using Differential Evolution
  •    Performance of Gain Scheduled Generic Model Controller Based on BF-PSO for a Batch Reactor
  •    PFPSO: An Optimised Filtering Approach Based on Sampling
  •    Optimal Design of Load Shedding and Generation Reallocation in Power Systems Using Fuzzy Particle Swarm Optimization Algorithm
  •    PSO-Based Controller Design for Rotary Inverted Pendulum System
  •    Strategies of Differential Evolution for Optimum Cropping Pattern
  •    Selecting and Combining Classifiers Simultaneously with Particle Swarm Optimization
How to cite this article:

S. Saadi, M. Bettayeb and A. Guessoum, 2010. Optimal Approach for Neutron Images Restoration using Particle Swarm Optimization Algorithm with Regularization. Journal of Applied Sciences, 10: 517-525.

DOI: 10.3923/jas.2010.517.525






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