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用于监控智能报警系统的图像识别技术
引用本文:周小四,杨杰,朱一坦.用于监控智能报警系统的图像识别技术[J].上海交通大学学报,2002,36(4):498-498.
作者姓名:周小四  杨杰  朱一坦
作者单位:上海交通大学,图像处理及模式识别研究所,上海,200030
基金项目:上海市教育基金会“曙光计划”资助项目
摘    要:利用遗传算法的最佳熵阈值法进行图像分割 ,缩短了寻找阈值的时间 .分割后提取可疑区域 ,再运用人工智能中的基于缺省规则推理对可疑区域进行分别处理 .本系统运用于非法入侵对象识别和火灾识别 ,经实验验证实用可靠 ,满足实时性要求 .对采集的彩色图像具有与灰度图像同样良好的效果 ,能将报警信号和可疑区域图像通过网络传送到报警中心 .

关 键 词:图像处理  人工智能  模式识别  遗传算法
文章编号:1006-2467(2002)04-0498-04

Image Recognition Techniques Applied to Intelligent System for Monitor Alarm
ZHOU Xiao si,YANG Jie,ZHU Yi tan.Image Recognition Techniques Applied to Intelligent System for Monitor Alarm[J].Journal of Shanghai Jiaotong University,2002,36(4):498-498.
Authors:ZHOU Xiao si  YANG Jie  ZHU Yi tan
Abstract:General image segmentation techniques and rule based inference were used to recognize fire and intruder. After segmentation and getting the suspected light area in the image, this paper used rule based inference for intelligent recognition of the area. The results show that the system is practical, reliable and in real time. The system has a good result on processing color images as well as gray images. It also can send the alarm signal and the suspected light area image to the alarm center through networks.
Keywords:image processing  artificial intelligence  pattern recognition  genetic algorithm
本文献已被 CNKI 维普 万方数据 等数据库收录!
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