基于图像哈希的社交网络热点事件检测系统

Hot Events System on Social Networks of Detection Based on Image Hashing

互联网的快速发展使得社交网络中的热点事件的检测成为亟待解决的问题。为了检测社交网络中的热点事件,设计和开发出基于图像哈希的社交网络热点事件检测软件。软件在JetBrains PyCharm环境中开发,使用Python语言和OpenCV3实现一种基于不变特性的彩色图像哈希算法应用于社交网络热点事件检测,并通过PyQt5工具包构造图形用户界面。

The rapid development of Internet has brought many issues to detect hot events on social networks.In order to detect it,we design and develop a social network hot event detection software based on image hashing.The software is developed in the JetBrains PyCharm environment,where a color image hashing based on invariant feature is implemented with Python language and OpenCV3 and applied to the detection of hot events in social network.The graphical user interface is realized by the PyQt5 toolkit.