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SANBAN

于 2020-11-25 发布 文件大小:1KB
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  数字散斑相关程序,能够计算2副图片的位移,简单的例子,对初学者也许有用。(Digital speckle correlation program can calculate the displacement of two images, a simple example, may be useful for beginners.)

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SANBAN.m,1223,2014-12-22

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    sift角点检测及匹配,在不同尺度空间下的角点检测方法,很方便实用。(sift corner detection and matching, the corner detection methods under different scales of space, it is convenient and practical.)
    2013-12-08 17:25:35下载
    积分:1
  • d3dle5
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    2005-12-14 13:49:08下载
    积分:1
  • SANBAN
    数字散斑相关程序,能够计算2副图片的位移,简单的例子,对初学者也许有用。(Digital speckle correlation program can calculate the displacement of two images, a simple example, may be useful for beginners.)
    2020-11-25 17:39:32下载
    积分:1
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    2010-06-28 14:10:45下载
    积分:1
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    2011-06-23 14:53:47下载
    积分:1
  • CvThrehold
    基于opencv实时图像的2值化处理,一定要有摄像头(Opencv-based real-time image processing of two values, there must be a camera)
    2013-11-29 20:29:33下载
    积分:1
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    YUV Quantization using VS2010
    2013-07-14 19:12:13下载
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    2012-07-11 15:40:59下载
    积分:1
  • VCdetuxingchuli
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    2011-12-13 16:41:34下载
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  • 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.)
    2014-04-15 11:11:55下载
    积分:1
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