船舶航行监控视频的阴影消除算法研究
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摘要
船舶航行监控视频对于船舶安全航行有重要意义,阴影消除是其中一个关键环节。传统的HSV空间消除算法在亮度分辨率上有很大弊端,极易产生误差,不能很好地消除阴影。提出了一种新的动船舶监控视频阴影消除算法——彩色空间阴影去除算法,该算法分为读取视频帧、建立背景、测定阈值和阴影检测4步。由实验结果可知,彩色空间阴影去除算法能够准确地消除掉动船舶监控视频的阴影,更地映射出船舶航行状态,消除过程不会受亮度分辨率影响。
Moving ship surveillance video plays an important role in ship safety navigation, and shadow elimination is a key step. The traditional HSV space elimination algorithm has many disadvantages in luminance resolution, and it is easy to produce errors, and can not eliminate the shadow very well. A new video shadow elimination algorithm, color space shadow removal algorithm, is proposed, which can be divided into four steps: reading video frame, setting up background, measuring threshold and shadow detection. The experimental results show that the color space shadow removal algorithm can eliminate the shadow of the ship monitoring video accurately, and map the ship's navigation state more, and the elimination process will not be affected by the luminance resolution.
Moving ship surveillance video plays an important role in ship safety navigation, and shadow elimination is a key step. The traditional HSV space elimination algorithm has many disadvantages in luminance resolution, and it is easy to produce errors, and can not eliminate the shadow very well. A new video shadow elimination algorithm, color space shadow removal algorithm, is proposed, which can be divided into four steps: reading video frame, setting up background, measuring threshold and shadow detection. The experimental results show that the color space shadow removal algorithm can eliminate the shadow of the ship monitoring video accurately, and map the ship's navigation state more, and the elimination process will not be affected by the luminance resolution.
引文
[1]周东,李昀峰,高妍,等.融合区域纹理梯度的船舶阴影视频去除算法[J].北京邮电大学学报,2017,40(s1):81-84.
[2]武明虎,宋冉冉,刘敏.结合HSV与纹理特征的视频阴影消除算法[J].中国图象图形学报,2017,22(10):1373-1380.
[3]张谢华,赵小虎.煤矿智能视频监控中的运动目标检测研究[J].工矿自动化,2016,42(4):31-36.
[4]郝江凌,王德强,李广儒.基于谷歌地球的船舶动态监控系统的研究与开发[J].船海工程,2017,46(4):197-201.
[2]武明虎,宋冉冉,刘敏.结合HSV与纹理特征的视频阴影消除算法[J].中国图象图形学报,2017,22(10):1373-1380.
[3]张谢华,赵小虎.煤矿智能视频监控中的运动目标检测研究[J].工矿自动化,2016,42(4):31-36.
[4]郝江凌,王德强,李广儒.基于谷歌地球的船舶动态监控系统的研究与开发[J].船海工程,2017,46(4):197-201.