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Flame Detection Method Based on Feature Recognition

机译:基于特征识别的火焰检测方法

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摘要

This paper introduced technique of current flame detecting system based on the CCD camera from which the color images are transferred into a computer, then the image processing algorithm is used to determine whether there is fire in the image sequence, the monitoring method is the most important in the whole system. The initiation of flame is a slowly process in which the image characteristics are very clearly, As the shape, area, and intensity of the flame in different time, each one varies every time. The image information of flame is analyzed in this paper, the regularity is summarized in color feature and dynamic characteristics, which is the main basis for the design of the identification algorithm. The color model is established based on the analysis of the characteristics of flame color, and the dynamic characteristics of the flame are identified according to the irregularity, the similarity and the stability of the flame, so as to provide the accurate basis for the flame detection.
机译:本文介绍了基于CCD摄像机的电流火焰检测系统技术,将彩色图像转移到计算机中,然后使用图像处理算法来确定图像序列中是否有火,监测方法是最重要的在整个系统中。火焰的启动是一种缓慢的过程,其中图像特性非常清楚,作为不同时间的火焰的形状,面积和强度,每次每次变化。在本文中分析了火焰的图像信息,规则性总结在彩色特征和动态特性中,这是识别算法设计的主要基础。基于对火焰颜色特性的分析建立了颜色模型,并且根据火焰的不规则,相似性和稳定性来识别火焰的动态特性,以便为火焰检测提供准确的基础。

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