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Keystone-Transfor

于 2020-08-17 发布 文件大小:147KB
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代码说明:

  Keystone Transform in ground moving target detection,it s very useful new comer(Keystone Transform in ground moving target detection)

文件列表:

Keystone变换在地面运动目标检测中的应用.caj,199576,2011-05-18

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    2009-05-28 23:12:23下载
    积分:1
  • m11
    混合高斯(Mixture of Gaussian, MOG) 背景建模算法和Codebook 背景建模算法被广泛应用于监控视频的运动目标检测问题, 但混合高斯的球体模型通常假设RGB 三个分量是独立的, Codebook 的圆柱体模型假设背景像素值在圆柱体内均匀分布且背景亮度值变化方向指向坐标原点, 这些假设使得模型对背景的描述能力下降. 本文提出了一种椭球体背景模型, 该模型克服了混合高斯球体模型和Codebook 圆柱体模型假设的局限性, 同时利用主成分分析(Principal components analysis, PCA) 方法来刻画椭球体背景模型, 提出了一种基于主成分分析的Codebook 背景建模算法. 实验表明, 本文算法不仅能够更准确地描述背景像素值在RGB 空间中的分布特征, 而且具有良好的鲁棒性.(The background modeling algorithm of mixture of Gaussian (MOG) and codebook is widely used in moving object detection of surveillance video. However, the ball model of MOG usually assumes that the three components of RGB are independent, while the cylinder model of codebook assumes that the value of background pixel is distributed uniformly within the cylinder and the changing direction of brightness points to the origin of the coordinate system. These assumptions reduce the descriptive capability for background modeling. Therefore, the paper proposes an ellipsoid- based background model, which overcomes the MOG and codebook0s limitations. By using principal component analysis to depict the ellipsoid background model, a novel PCA-based codebook background modeling algorithm is proposed. Experiments show that this algorithm can not only give more accurate description of the distribution of background pixels but also have a better robustness.)
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    这是一个数字图像处理常用的功能的集成软件,用VC++ 编写,可以对图像进行一些常见的操作,也可以自己扩展功能(This is a common feature of digital image processing integrated software, images can perform basic operations)
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    积分:1
  • uCSourceCodefn
    Unix系统下,小波包变换的实现源码实例,,当然,稍作改动也可用于windows系统下。 (Unix systems, the instance of the wavelet packet transform source, of course, some minor changes can also be used in the windows system.)
    2012-07-25 06:25:54下载
    积分:1
  • binary-image-processing
    二值图像处理运算是从数学形态学下的集合论方法发展起来的,尽管它的基本运算很简单,但是却可以产生复杂的效果。常用的二值图像处理操作有许多方法,如腐蚀、膨胀、细化、开运算和闭运算等等。本文对这些内容作些研究探讨, 希望对爱好图像处理的朋友有所帮助。(Binary image processing algorithms are developed set theory in mathematical morphology. Although its basic operation is simple, it can produce complex effects. Commonly used binary image processing operations there are many ways, such as corrosion, expansion, refinement, open operation and closed operation and so on. In this paper, some of these studies to explore, I hope to love image processing friends help.)
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    光斑中心提取算法,在VS2010下,用opencv2.3.1编写的控制台程序,主要功能是利用hession矩阵和高斯滤波进行光斑中心点提取,里面附测试图片,提取精度为亚像素级别。(Spot center extraction algorithm, in VS2010, written by opencv2.3.1 console program, the main function is to use hession matrices and Gaussian filter for extracting the center spot, which is attached test images, the extraction accuracy of sub-pixel level.)
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    积分:1
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