基于数据流引擎的小鼠肺三维可视化图像滤波算法的加速

I. Milankovic, A. Peulić, A. Ysasi, W. Wagner, A. Pabst, M. Ackermann, Jan Houdek, S. Föhst, S. Mentzer, M. Konerding, N. Filipovic, A. Tsuda
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引用次数: 2

摘要

图像滤波是图像处理应用中最常见、最重要的任务之一。本文介绍了一种结合阈值分割和二值化算法的均值滤波算法在小鼠肺部三维可视化和分析中的应用。然后将这些算法映射到Maxler的MAX2336B数据流引擎(DFE)上,以显着提高计算速度。测试了几种不同的DFE配置,每种配置都产生了不同的性能特征。优化算法计算速度可达基准计算速度的30倍。
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Acceleration of image filtering algorithms for 3D visualization of murine lungs using dataflow engines
Image filtering is one of the most common and important tasks in image processing applications. In this paper, image processing using a mean filtering algorithm combined with thresholding and binarization algorithms for the 3D visualization and analysis of murine lungs is explained. These algorithms are then mapped on the Maxler's MAX2336B Dataflow Engine (DFE) to significantly increase calculation speed. Several different DFE configurations were tested and each yielded different performance characteristics. Optimal algorithm calculation speed was up to 30 fold baseline calculation speed.
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