دانلود رایگان مقاله الگوریتم جستجوی هارمونی برای پروژه بازسازی تصویر

Abstract

Image reconstruction from projections is an important problem in the areas of microscopy, geophysics, astrophysics, satellite and medical imaging. The problem of image reconstruction from projections is considered as an optimization problem where a meta-heuristic technique can be used to solve it. In this paper, we propose a new method based on harmony search (HS) meta-heuristic for image reconstruction from projections. The HS method is combined then with a local search method (LS) to improve the quality of reconstructed images in tomography. The two proposed methods (HS and hybrid HS) are validated on some images and compared with both the filtered back-projection (FBP) and the simultaneous iterative reconstruction technique (SIRT) methods. The numerical results are encouraging and demonstrate the benefits of the proposed methods for image reconstruction in tomography.

5. Conclusion

In this paper, we proposed two meta-heuristics for image reconstruction in tomography. Thefirstis harmony search algorithm(HS) for the problem of image reconstruction. The second is hybrid HS with LS algorithm for the considered problem. The two proposed methods are evaluated on some images and compared to both the analytical FBP and the iterative SIRT methods. The obtained results are competitive and demonstrate the benefit of our methods. The results prove the applicability and the efficiency of the developed approaches. Further, the hybrid HS with LS is able to find good results compared to the other considered methods. We plan to add diversification to prevent hybrid HS losing its way at local optimum and also include noises correction. Further refinements will introduce the parallelism under GPU to reduce computation time.