计算机科学 ›› 2010, Vol. 37 ›› Issue (8): 287-289.
• 图形图像 • 上一篇 下一篇
韩殿元
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基金资助:
HAN Dian-yuan
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摘要: 传统火灾探测技术存在许多缺陷。提出了一种基于图像的火焰识别方法。首先将图像由RGl3模式转换为YCbCr模式,以Cb,Cr为轴建立坐标系并绘出火焰样本的Cb,Cr值。用一个椭圆将绘出的坐标点包括起来,并创建椭圆方程和二维正态分布函数,使正态分布函数在椭圆外部的值为零,并用L-M算法对正态分布函数中的参数进行优化。对火焰的识别转换为判断正态分布函数在像素对应的Cb, Cr处的值是否大于零。该方法具有很好的实时性和识别效果。
关键词: 火焰识别,YCbCr颜色模式,正态分布,L-M算法
Abstract: As conventional fire detection technology has many limitations, this paper proposed a fire recognition method based on image. Firstly, the image color space was transformed from RGI3 to YCbCr and a coordinate system was set up then the Cb and Cr values of the fire sample pixels were depicted. Secondly, an ellipse was drawn up to ring up the most of the points so as to create an elliptic equation and a two-dimensional normal distribution function which value out of the ellipse was zero. Lastly L-M algorithm was used to optimize the parameters of normal distribution function. So the recognition of the fire was converted to judge if the normal distribution function value of a given couple of Cb and Cr isgreater than zero. I}he method of this paper has good real-time and recognition performance.
Key words: Fire recognition, YCbCr color space, Normal distribution, L-M algorithm
韩殿元. YCbCr颜色模式下基于L-M算法优化的火焰识别方法[J]. 计算机科学, 2010, 37(8): 287-289. https://doi.org/
HAN Dian-yuan. Fire Recognition Algorithm Based on L-M in YCbCr Color Space[J]. Computer Science, 2010, 37(8): 287-289. https://doi.org/
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