图像识别在互联网“问题地图”监控中的应用研究

Research on Application of Image Recognition in Internet“Problem Map”Monitoring

图像识别技术在互联网“问题地图”监控中发挥着重要作用。本文首先阐述了图像识别的内涵,包括定义、原理和作用;接着探讨了图像识别在互联网“问题地图”监控中的意义,即识别准确率高、技术先进,应用范围广、成本低,工作效率高、容错率低;然后详细论述了其在监控中的应用,涵盖目标物信息采集、数据预处理、图像特征提取、图像分类识别以及系统实现等方面。通过对图像识别的全面剖析,旨在高效精准地监控互联网“问题地图”提供了有力的理论支持和实践指导。

Image recognition technology plays an important role in the monitoring of Internet“problem map”.This paper first expounds the connotation of image recognition,including the definition,principle and function.Then,the significance of image recognition in the monitoring of Internet“problem map”is discussed,that is,high recognition accuracy,advanced technology,wide application range,low cost,high work efficiency,low fault tolerance rate.Subsequently,its application in monitoring is discussed in detail,covering target information acquisition,data preprocessing,image feature extraction,image classification and recognition,and system implementation.Through the comprehensive analysis of image recognition,this paper aims to provide strong theoretical support and practical guidance for efficient and accurate monitoring of Internet“problem map”.