[1]刘晓明 仲元红 欧静兰.基于DSP的火灾图像识别系统设计及应用[J].计算机技术与发展,2006,(06):95-97.
　LIU Xiao-ming,ZHONG Yuan-hong,OU Jing-lan.Design and Application of Fire Images Recognition System Based on DSP[J].,2006,(06):95-97.
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基于DSP的火灾图像识别系统设计及应用()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2006年06期
页码:
95-97
栏目:
应用开发研究
出版日期:
1900-01-01

文章信息/Info

Title:
Design and Application of Fire Images Recognition System Based on DSP
文章编号:
1673-629X（2006）06-0095-03
作者:
刘晓明 仲元红 欧静兰
重庆大学通信工程学院
Author(s):
LIU Xiao-ming;  ZHONG Yuan-hong;  OU Jing-lan
Communication Engineering College of Chongqing University
关键词:
火灾识别; DSP; FPGA; 监控系统
Keywords:
fire recognition;  DSP;  FPGA;  monitoring system
分类号:
TP391.41
文献标志码:
A
摘要:
现有基于火灾图像识别的报警系统一般采用前端摄像头与视频采集卡的结构，然后由传输网络把图像传输到后台计算机进行处理识别、报警等工作。文中设计了一种DSP＋FPGA的硬件系统结构，利用火灾图像独有的特征，用图像处理方法提取这些特征值，并利用神经网络对火灾进行判别的软件系统。这些处理都在终端进行，减少了监控台的负担。实验结果表明，该系统与传统系统相比，更进一步减少了误报率且具有价格低、响应快、监控范围广、不用更换网络等优点
Abstract:
The architecture of the existing fire images are recognition system is generally composed of stylus and video acquisition card, and then the images are transferred to backstage computer to be deal and so on. So design a kind of new architecture based on DSP ＋ FPGA, and extract the characteristic of fire images using image processing, and then the characteristics are used to recognize the fire using neural network, These processings are done on the terminal, so the burden of backstage computer is decreased. The result is indicated that the system can decrease the error rate further, respond more quickly, monitor more widely and does not need change the existing network than traditional system

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备注/Memo

备注/Memo:
刘晓明（1964-），男，重庆人，博士，教授。研究方向为软件无线电及图像处理
更新日期/Last Update: 1900-01-01