基于NOW的PVM图像自适应噪声消除和边缘检测

S. Mylonas, P. Trancoso, M. Trimikliniotis
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引用次数: 3

摘要

提出了一种利用二维LMS自适应滤波器对数字图像进行降噪和边缘检测的方法。这是在由廉价pc(工作站网络,NOW)组成的并行虚拟机(PVM)上实现的。实验结果表明,在不同的图像尺寸和系统配置下,加速速度接近线性。并进行了动态负载均衡实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive noise canceling and edge detection in images using PVM on a NOW
A method for the processing of digital images using a two-dimensional LMS adaptive filter for noise reduction and subsequent edge detection is presented. This is implemented on a parallel virtual machine (PVM) consisting of inexpensive PCs (network of workstations, NOW). The experimental results for different image sizes and system configurations show close to linear speedup. Experiments to test dynamic load balancing are also performed.
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