HIS空间的火灾图像模糊增强快速算法

火灾图像增强是图像型火灾探测系统中的重要环节。为了克服传统模糊增强算法运算量大、耗时长等问题，采用建立3维查找表并改进模糊增强算子的方法，设计了1种基于颜色三要素空间的火灾图像模糊增强快速算法。首先将火灾图像由三原色空间转换到三要素空间，然后保留H分量，分别对I分量、S分量建立3维查找表，通过3维查找表对图像中所有像素点的I分量、S分量进行模糊增强操作，最后将图像转换回三原色空间。结果表明，该算法在保留火焰色彩信息的同时大大降低了运行时间。这一结果对火灾的实时性探测是有帮助的。

Fast fire image fuzzy enhancement algorithm based on HIS space

Fire image enhancement plays an important role in the system of fire detection based on images. A deficit of traditional fuzzy enhancement algorithms is the high computation cost. To solve this problem, a novel algorithm was proposed utilizing the 3-D look-up table (LUT) and a novel image fuzzy enhancement arithmetic operator. It firstly transforms the color space of fire images from red, green and blue to hue, intensity, saturaiton(HIS) and builds LUT for the variables I and S. Then enhances them through LUT and transforms the color space of fire images back to HIS space. Experimental results show that the new algorithm has significantly improved the running speed. It's helpful to the real-time detection of fire.