可变视场下的火灾探测算法

针对火灾发生初期由火焰面积小、特征不够明显且易受干扰等因素所导致的火焰识别困难的问题,提出一种可变视场下小面积火焰快速探测方法.该方法利用旋转云台实现小面积火焰疑似区域的大监控范围跟踪和视野中央聚焦；通过镜头变焦处理对小面积火焰进行自动放大,提高火焰区域“多分辨”视觉识别特征的显著性；采用自适应区域增长算法对火焰图像进行识别,有效完成火焰疑似区域分割；通过建立的信任度概率模型,将疑似概率作为火焰判定的量化参数,用于火焰区域的最终确定,从而在识别算法和图像获取硬件设备两方面改善火焰探测系统的工作效率.实验结果表明,火焰成像质量得到明显改善,火焰特征识别速度得以明显加快,小火焰检测精度显著提升,可广泛应用于火灾早期以及远距离火焰检测与预警.

An Early Detection Algorithm for Small Flame Based on Vision System with Variant Field of View

A fast detection method for small flame area in variable visual fields is proposed to solve the difficulties of flame identification caused by the small flame area,unapparent features and its easy-interferential in fire prime.A Pan-Tilt-Zoom is used to track and center the small suspected fire fields in a large range region.Then,the zoom lens is handled to enlarge the small area,and to enhance the "multi-resolution" visual recognition feature.Then,an adaptive region growing algorithm is adopted to detect and segment the suspected flame region.Finally,a confidence probability model is built and the suspected probability is used as the quantitative parameters to confirm flame recognition.Experimental results show that the flame imaging quality is improved clearly,and that the small fire detection precision is greatly increased.The system can be widely used in early fire finding and long-range flame detection and warning.