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	HSV空间特征和纹理特征的阴影检测算法研究; A Shadow Detection Algorithm Research Based on HSV Space Features and Texture Features
	李媛 ; 张艳珠 ; 渠彪 ; 李小娟
	2012
关键词	HSV颜色空间 纹理特征 阴影检测 HSV color space texture features shadow detection
英文摘要	为了提高检测和跟踪算法的准确性,提出了一种基于阴影在HSV空间下的特点和纹理特征的阴影检测与去除算法。该算法针对阴影区域覆盖的地面和未被阴影区域覆盖的地面纹理特征基本不变的特点,先检查序列图像中的运动区域,然后在运动区域内,根据阴影在HSV空间下的特点和纹理特征对阴影进行检测与去除,为运动目标的后续处理排除阴影干扰。实验结果表明,该算法能够很好地抑制噪声,有效检测、去除图片中运动目标的阴影。; In order to improve the accuracy,this paper proposes a shadow detection and removal algorithm based on the features of HSV space and texture.Either the area is covered by the shadow or not,it always has the same texture feature.Based on this point,the algorithm firstly detect the moving area in series images,and then in moving area,based on the different characteristics of shadow when in HSV space and its texture feature,it is detected from the moving target and it is removed disturbance for the following processing.Experimental results show that the proposed algorithm can detect the noise and shadow and remove them effectively.
语种	zh_CN
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/122844]
专题	信息技术－已发表论文
推荐引用方式 GB/T 7714	李媛,张艳珠,渠彪,等. HSV空间特征和纹理特征的阴影检测算法研究, A Shadow Detection Algorithm Research Based on HSV Space Features and Texture Features[J],2012.
APA	李媛,张艳珠,渠彪,&李小娟.(2012).HSV空间特征和纹理特征的阴影检测算法研究..
MLA	李媛,et al."HSV空间特征和纹理特征的阴影检测算法研究".(2012).

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