基于图像处理和模式识别的网络图像监控系统

随着科学技术和生活水平不断的提高,人们的财产和人身安全问题已经不仅仅来自于传统的经验,而是逐渐的转变到虚拟的网络当中;为此,提高人们的隐私安全和财产安全需要加强网络监控,其中图像监控是较为主要的方面;加强图像监控的可靠性和实时性,是实现社会稳步发展和人民网络隐私安全的首要目标;应用计算机网络技术和现代化通讯技术相结合,综合图像处理技术和模式识别技术的应用,设计应用于网络图像监控系统是当前社会发展的安全技术保障之一;文章通过对图像监控进行简析,阐述图像处理技术和模式识别技术的相关方面,探讨研究网络图像监控中图像识别和处理方面的技术;通过对图像处理中的色彩均化和模糊识别实验,得出其对于网络中传播的图片辨识度和提取信息能力具有很高的发展。

Network Image Monitoring System Based on Image Processing and Pattern Recognition

In the continuous improvement of science and technology and living standards, people''s property and personal safety problem has not only come from the traditional practical, but gradually transformed into the virtual network. In order to improve people''s privacy and security, we need to strengthen the network monitoring, in which the image monitoring is the most important aspect. Strengthen the reliability and real-time performance of image monitoring in the community to achieve steady development and people''s network privacy security and property safety of the primary objectives. The application of computer network technology and modern communication technology, the application of comprehensive image processing technology and pattern recognition technology, applied to the design of network image monitoring system is one of the technical support of the social development. In this paper, the image processing technology and pattern recognition technology are analyzed, and the technology of image recognition and processing in network image monitoring is discussed. Through the experiment of color equalization and fuzzy recognition in image processing, it can be concluded that the ability of image recognition and information extraction can be very high.