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基于灰度图像的阴影检测算法 被引量：4

Shadow Detection Algorithm in Gray Degree Image
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摘要 基于灰度图像的阴影检测算法,通过快速归一化互相关函数计算方法其复杂度,并采用背景减法与帧差法相结合方法提取运动前景。其步骤包括提取运动前景及检测运动目标的阴影。该方法与基于HSV模型的阴影检测算法相比,实验表明:在不需要任何的颜色信息的情况下,基于灰度图像的阴影检测算法能较好检测出阴影。 Shadow detection algorithm based on grayscale video sequences, decreases complexity through the computational method of fast normalized cross correlation （FNCC）, and uses the method of combination of background subtraction and two consecutive frames subtraction to extract the moving prospect. Its steps include extracting the moving prospect and detecting the moving target shadow. Comparing this method with the shadow detection algorithm based on HSV model, experimental results showed that proposed algorithm could detect the shadow accurately and only used gray information of video sequences
作者 张笑微 王月琴
机构地区 西南科技大学信息工程学院
出处 《兵工自动化》 2007年第7期45-47,共3页 Ordnance Industry Automation
基金 四川省教育厅重点资助项目(2006A097)
关键词 灰度图像 阴影检测 归一化互相关函数 HSV模型 Gray image Shadow detection Normalized cross correlation （NCC） HSV model detection
分类号 TP391.42 [自动化与计算机技术—计算机应用技术] TP274.5 [自动化与计算机技术—检测技术与自动化装置]
  • 相关文献

参考文献6

  • 1Julio Cezar Silveira Jacques Jr,Claudio Rosito Jung,Soraia Raupp Musse.Background Subtraction and Shadow Detection in Grayscale Video Sequences[A].IEEE Computer Society[C],2005.189-196.
  • 2A J H.Hii,C E Hann,J G.Chase,E E W Van Houten.Fast Normalized Cross Correlation for Motion Tracking Using Basis Functions[J].Computer Methods and Programs in Biomedicine,2006,82 (2):144-156.
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  • 4Alessandro Bevilacqua.Optimizing Parameters of a Motion Detection System by Means of a Distributed Genetic Algorithm[A].Image and Vision Computing,2005,23 (9):815-829.
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二级参考文献13

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共引文献23

同被引文献36

  • 1华希俊,廖茜,陈美云,王木菊.阴影环境下拖拉机视觉导航路径识别方法研究[J].农机化研究,2012,34(4):181-184. 被引量：4
  • 2左文明.连通区域提取算法研究[J].计算机应用与软件,2006,23(1):97-98. 被引量：31
  • 3黄新波,孙钦东,王小敬,武键,刘家兵.输电线路危险点远程图像监控系统[J].高电压技术,2007,33(8):192-197. 被引量：58
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引证文献4

二级引证文献11

兵工自动化
2007年 第7期

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