基于改进ViBe算法以及改进CLAHE算法的烟雾信息增强技术

A smoke information enhancement technique based on improved ViBe algorithm and improved CLAHE algorithm

对于在火灾刚开始发生时,烟雾信息较弱且不明显的问题,提出了一种使用视频图像序列进行烟雾信息增强的技术。使用改进的ViBe算法对整个视频进行检测,获得每帧图像的运动蒙板。采用去除离群值的帧间差分放大算法对烟雾信息进行放大。通过改进后的限制对比度的自适应直方图均衡化算法(CLAHE)来提高烟雾区域对比度,并使用合并蒙板保存烟雾信息,用翻转蒙板保留原始图像背景信息,最后进行烟雾区域与背景区域的融合,得到最终图像。实验结果表明,算法可以将烟雾泄漏区域的对比度进行较大程度的提高,并且由于融合了原始图像背景,因此,背景噪声也处于较低水平。

This paper proposes a technique for enhancing weak smoke information at the beginning of a fire by using the information between video image sequences.An improved ViBe algorithm is used to monitor the entire video and obtain the motion mask of each frame.The smoke information is amplified by utilizing the frame difference amplification algorithm that removes outliers.Moreover,improving the contrast of smoke regions through the use of an improved CLAHE algorithm.Smoke information is preserved using a merge mask,while the flip mask retains background image information.Finally,the smoke area and background area are merged to obtain the final image.Experimental results show that the algorithm can significantly improve the contrast of the smoke leaking area.As the original image background is fused,the noise is significantly suppressed.