| RGB和HSI颜色空间的一种改进的阴影消除算法 |
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| 引用本文： | 韩延彬,,郭晓鹏,魏延文,,李恒建,.RGB和HSI颜色空间的一种改进的阴影消除算法[J].智能系统学报,2015,10(5):769-774. |
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| 作者姓名： | 韩延彬 郭晓鹏 魏延文 李恒建 |
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| 作者单位： | 1. 济南大学 信息科学与工程学院, 山东 济南 250022;2. 山东省网络环境智能计算技术重点实验室, 山东 济南 250022 |
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| 摘 要： | 在智能视频监控中,运动目标的准确提取至关重要。现有的运动目标检测算法虽然很多,但是阴影去除效果都不甚理想,因此提出了一种基于RGB和HSI颜色空间的阴影消除改进算法。该算法在分析视频中像素点被阴影覆盖和未被阴影覆盖时色调的近似一致性和亮度值成线性关系的基础上,利用2个颜色空间中组成颜色的各分量值在该颜色中所占的比例和亮度的相对变化率,实现运动目标的阴影消除。实验表明,该算法去除阴影的效果优于采用(r, g, I)颜色空间阴影去除算法,且能有效弥补运动目标孔洞的现象,是对运动目标检测算法的补充。
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| 关 键 词： | 目标检测 阴影消除 颜色空间 孔洞现象 视频分析 |
An improved shadow removal algorithm based on RGB and HSI color spaces |
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| HAN Yanbin,,GUO Xiaopeng,WEI Yanwen,,LI Hengjian,.An improved shadow removal algorithm based on RGB and HSI color spaces[J].CAAL Transactions on Intelligent Systems,2015,10(5):769-774. |
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| Authors: | HAN Yanbin GUO Xiaopeng WEI Yanwen LI Hengjian |
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| Affiliation: | 1. School of Information Science and Engineering, University of Jinan, Jinan 250022, China;2. Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan 250022, China |
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| Abstract: | It is critical to exactly extract moving targets in intelligent video surveillance. There are many moving target detection algorithms, but for all the effects of shadow elimination are not ideal. In order to remove the shadow, an improved shadow removal algorithm based on RGB and HSI color spaces is presented. The analysis of the pixels in videoes shows that the hue is approximately consistent before and after the pixels are shaded, and there exists a linear relation between this approximate consistency and the value of luminance. On this basis, by utilizing the proportion of each color component in the color spaces and the relative change rates of brightness, the shadow of a moving object can be removed. The experimental results show that the shadow removal effect of this algorithm is better than that of the algorithm with (r, g, I) color space. In addition, it can also cope with holes in moving targets and is a supplement to the moving object detection algorithm. |
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| Keywords: | target detection shadow removal color space hole phenomenon video analysis |
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