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Acceleration of genetic algorithm with parallel processing with application in medical image registration
Author(s)
Date Issued
December 1, 2005
Type
Conference Paper
Abstract
Generally, image registration using genetic algorithm is a time-consuming process since the algorithm needs to evaluate the objective function several hundred times depending on the vastness of search space. The situation appears worse if the registration is intensity-based due to the interpolation loops prior to each objective function. However, with the availability of parallel processing method, one can accelerate the application of genetic algorithm for iterative-based image registration process of up 80 % for multi-modality alignment. Copyright UNION Agency - Science Press.
Citation
13th International Conference in Central Europe on Computer Graphics Visualization and Computer Vision 2005 Wscg 2005 in Co Operation with Eurographics Full Papers, 133-136, 2005