Smoke is an important physical phenomenon in fire process, and smoke turbulence is one of the main factors to affect the image based fire detection.
烟气是火灾过程的重要物理现象。烟气的湍流效应是火灾图像探测的重要影响因素。
Experimental results show that the algorithm can segment flame and smoke in effect, and improve the efficiency of segmentation for forest fire image.
实验结果表明，这种算法能够有效地实现火焰和烟雾的分割，提高了森林火灾图像分割的有效性。
This paper discusses smoke image recognition of fire detection techniques.
本文讨论了火灾探测技术中火灾图像识别的方法。
Vision-based fire smoke detection technology using image processing methods is an important branch, which captured considerable attention over the past decade, in fire safety field.
基于图像处理方法的火灾烟雾视频探测技术，是近年来火灾监控领域受到广泛关注的重要分支。
Smoke is the important physical phenomena of fire. The turbulent effect of smoke is the main influencing factor of fire image detection.
烟气是火灾过程的重要物理现象，烟气的湍流效应是火灾图像探测的重要影响因素。
It is feasible to apply dynamic video image segmentation technology in fire detection according to characteristics of motion and texture of fire outcomes such as smoke and flame.
根据火灾现场衍生物的运动特性及其自身的纹理特性，使用动态视频图像分割技术也是可行的。
It is feasible to apply dynamic video image segmentation technology in fire detection according to characteristics of motion and texture of fire outcomes such as smoke and flame.
根据火灾现场衍生物的运动特性及其自身的纹理特性，使用动态视频图像分割技术也是可行的。
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