摘要
数字图像在警务信息体系中发挥核心支撑作用,图像处理能力已从传统的静态呈现,逐步发展为集动态识别、深度研判与跨平台联动于一体的复合能力。文章围绕图像采集、内容修复、行为识别与存储整合等关键环节展开分析,剖析数字影像系统(Digital Imaging System, DIS)在技术响应、识别逻辑与数据治理方面的具体策略。同时,借助任务导向的功能优化,构建具备高适应性、强分析性与实操性的图像技术路径,进而为公安图像系统高质量运行提供全链条技术支撑。
Digital images play a core supporting role in the police information system,and image processing capabilities have gradually evolved from traditional static presentation to a composite capability of dynamic recognition,deep analysis,and cross-platform linkage.The article focuses on the key links of image acquisition,content restoration,behavior recognition,and storage integration,and analyzes the specific strategies of digital imaging systems(DIS)in terms of technical response,recognition logic,and data governance.At the same time,with the help of task-oriented functional optimization,a highly adaptable,analytical,and practical image technology path is constructed to provide full-chain technical support for the high-quality operation of public security image systems.
作者
陈志明
顾媛媛
CHEN Zhiming;GU Yuanyuan(Xianju County Public Security Bureau,Taizhou Zhejiang 317300,China;Taizhou Yongning Industrial Investment Group Co.,Ltd.,Taizhou Zhejiang 318000,China)
出处
《信息与电脑》
2025年第19期7-9,共3页
Information & Computer
关键词
数字影像
图像技术
应用分析
digital imaging
image technology
application analysis
