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一种基于DSP实现火焰检测的方法 被引量:8

A flame detecting method based on DSP
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摘要 在结合传统火焰检测技术和数字图像处理技术的基础上,提出一种利用火焰辐射强度、火焰频率、数字图像火焰温度场计算、火焰频谱分析、火焰色度图像,实现综合判断火焰有无和进行燃烧诊断的方法。该方法实现较为简便,对系统硬件要求低,具有传统火焰检测的稳定性好和数字图像处理火焰检测灵敏度高的优点。 Based on the combined traditional flame detecting and digital image manipulation technologies,this paper proposes a method which uses flame radiation intensity, flame frequency, calculated digital image flame temperature field, flame spectrum analysis to diagnose combustion performances. This method can be easily realized and less hardware is needed.
出处 《华北电力大学学报(自然科学版)》 CAS 北大核心 2002年第4期48-50,共3页 Journal of North China Electric Power University:Natural Science Edition
关键词 DSP 火焰检测 锅炉 数字图像处理 安全监控系统 炉膛 flame detecting DSP image manipulation
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共引文献26

同被引文献28

  • 1徐伟勇,余岳峰,孙江,吴建繁.数字图像处理技术在火焰检测上的应用[J].中国电力,1994,27(10):41-44. 被引量:58
  • 2代凯乾,刘肖琳.基于图像序列的人体跟踪[J].计算机仿真,2007,24(7):202-204. 被引量:9
  • 3P W Power, J A Schoonees. Understanding background mixture models for foregrounds segmentation [ C ]. Proceedings of Image and Vision Computing, 2002. 267-271.
  • 4D C Lowe. Distinctive image features from scale invariant key points [ J ]. International Journal Computer Vision, 2004,60 (2) : 91-110.
  • 5P W Power,J A Schoonees.Understanding background mixturemodels for foregrounds segmentation[C].Proceedings of Image andVision Computing,2002:267-271.
  • 6D C Lowe.Distinctive image features from scale-invariantkey-points[J].International Journal Computer Vision,2004,60(2):91-110.
  • 7P W Power, J A Schoonees. Understanding background mixture models for foregrounds segmentation [ C ]. Proceedings of Image and Vision Computing, 2002:267-271.
  • 8D C Lowe. Distinctive image features from scale-invariantkeypoints [ J ]. International Journal Computer Vision, 2004,60 ( 2 ) : 91 - 110.
  • 9Power P W , Schoonees J A . Understanding baek- ground mixture models for foregrounds segmentation [ C ]. Proceedings of hnage and Vision Computing, 2002 : 267-271.
  • 10Lowe D C . Distinctive image features from scale invari- ant key points [J]. International Journal Computer Vi- sion, 2004, 60 (2): 91-110.

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