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Multithreading method to perform the parallel Image Registration

机译:多线程方法执行并行图像配准

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With the multi-core technology be widely used in PCs, multithreading method becomes the most efficient programming tool for improving the computation capacity on a single processor. Especially in image processing, most numerical approaches are based on the computing over the pixel matrices. As the image size increases, more time consuming is needed. In this paper, a parallel method to perform the PDE-based image registration computing is discussed, the multithreading process with OpenMP on a dual core computer is detailed. Some experimental results show that this method can produce the large size parallel image registration and save nearly a half computing time.
机译:随着多核技术广泛用于PC,多线程方法成为最有效的编程工具,用于提高单个处理器上的计算能力。特别是在图像处理中,大多数数值方法基于像素矩阵上的计算。随着图像尺寸的增加,需要更多耗时。在本文中,讨论了执行基于PDE的图像配准计算的并行方法,详细说明了双核计算机上的OpenMP的多线程处理。一些实验结果表明,该方法可以产生大尺寸的并行图像配准,并节省几个计算时间。

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