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Analysis of data mining algorithms on image processing for the intelligent traffic system

机译:智能交通系统图像处理数据挖掘算法分析

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The development of Artificial Intelligent will strongly influence the data mining routine of the future. As a consequence of a rapid development of the Intelligent Method and an increasing computational power new therapeutic and diagnostic methods are used today allowing higher standards in quality and efficiency of data mining which includes the image, the sound and so on. In order to get the better efficient data and decision, we build the intelligent system which mainly provides a powerful tool for the solution of the massive data mining and complex problems in the urban traffic monitor system.This paper provides an investigation on the application of cluster computing in the field of traffic image that could efficiently increase the throughput. Also that the most commonly used Image processing algorithms in the domain are discussed with the ways and means by which parallelism could be exploited.
机译:人工智能的发展将极大地影响未来的数据挖掘程序。由于智能方法的迅速发展和计算能力的提高,当今使用了新的治疗和诊断方法,从而在包括图像,声音等在内的数据挖掘的质量和效率上实现了更高的标准。为了获得更好的高效数据和决策,我们构建了智能系统,该系统主要为解决城市交通监控系统中的海量数据挖掘和复杂问题提供了强大的工具。本文对集群的应用进行了研究。交通图像领域的计算,可以有效地提高吞吐量。此外,还讨论了领域中最常用的图像处理算法,并介绍了可利用并行性的方式和方法。

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