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针对目前网络安全系统对于图像信息处理能力不足的问题 ,开发了一种基于图像内容过滤的智能防火墙系统 ,能够准确、实时地监测网络中的图像信息 ,提高了网络系统的运行可靠性和安全性 .提出了一种基于轮廓特征抽取与多智能体技术的图像内容检索算法作为本系统的核心算法 .该算法首次将图像检索问题看作是一个分布式求解问题 ,并以智能体技术作为支撑技术 ,解决了目前多维索引算法在大型图像库检索效率低下的问题 ,在不降低图像识别率的情况下 ,提高了系统的检索速度
In order to solve the problem of lack of image information processing capability in current network security system, an intelligent firewall system based on image content filtering is developed, which can accurately and real-time monitor the image information in the network and improve the reliability and security of the network system. An image retrieval algorithm based on contour feature extraction and multi-agent technology is proposed as the core algorithm of the system.The image retrieval problem is regarded as a distributed problem for the first time and the agent technology is used as the support technology , Which solves the problem that the current multi-dimensional indexing algorithm has low retrieval efficiency in large-scale image database, and improves the retrieval speed of the system without reducing the image recognition rate