Abstract
This study has examined the problem of accurate optimization for fully automatic registration of brain images. Though the proposed global optimization techniques produce encouraging results, their speed of convergence is slow in compare to other local optimization techniques. To speed up the optimization techniques, we introduce multiresolution framework and gain a hierarchical knowledge of transformation parameters. This approach has tried to avoid the stuck in problem of local optimization technique and enhances the speed of convergence of high-dimensional searching algorithms.
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Das, A., Bhattacharya, M. (2013). Multiresolution Framework Based Global Optimization Technique for Multimodal Image Registration. In: Agrawal, A., Tripathi, R.C., Do, E.YL., Tiwari, M.D. (eds) Intelligent Interactive Technologies and Multimedia. IITM 2013. Communications in Computer and Information Science, vol 276. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37463-0_31
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DOI: https://doi.org/10.1007/978-3-642-37463-0_31
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