摘要
为了解决隧道内火灾报警的核心问题,也就是火焰检测,通过尝试各种方式来提高火焰检测的有效性和可靠性。基于水平集在图像处理方面的发展和应用,对现有的水平集模型进行优化和改良,并结合城市隧道的具体应用需求,来对基于水平集合算法的火焰检测模型做一个探讨性研究。经过试验验证,把改进的模型应用到图像处理时,能取得更好的效果,能更准确的对图像处理。
In order to address the core of the tunnel fire alarm problem,that is,flame detection,by trying various ways to improve the ef-fectiveness and reliability of fire detection.Based on the level set in the development of image processing and application of the existing level set model for optimization and improvement,combined with the specific application needs city tunnel to the level set algorithm based flame detection model to do a research study.After experimental verification,the improved model is applied to image processing,can achieve better results,more accurate image processing.
作者
胡文
HU Wen（Wuhan University of Technology,Wuhan 430014,China）
出处
《电脑知识与技术》
2010年第5期3505-3506,共2页
Computer Knowledge and Technology
关键词
水平集
火焰检测
水平集模型
隧道火灾报警
图像处理
level set
flame detection
flame detection model
tunnel fire alarm
image processing
