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C# 百叶窗效果 实例

锥束CT（CBCT）的三维重构算法（FDK）(the FDK algorithm for cone beam CT reconstruction)

说明：  1，RGB图像分层 2，盲去卷积 3，运行环境需要matlab，加载到工作目录中，许手动添加图像文件(1. RGB image layering 2. Blind deconvolution)

多聚焦图像融合的源代码，还包括几个评价指标的的function函数(Multi-focus image fusion source code, also includes several evaluation function function)

RAC法标定程序，适用于单目摄像机的线结构光的标定(The RAC calibration method procedure applies to line structured light calibration)

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.)

有关于求取图像相关系数的matlab M 文件；虽然很简单，但可以为你省去那么一点时间。 共享改变未来！(Correlation coefficient on the strike' s matlab M image file although very simple, but it can save you some time. Share changes in the future!)

image compression using dwt and dct

基于样本的纹理合成加速方法，MRF，基于Li-Yi Wei的论文。(Acceleration method based on texture synthesis samples, MRF, based on Li-Yi Wei of paper.)

kalman是视频跟踪的几本算法，本算法就是一个kalman的很好的应用例子！(video tracking kalman several algorithms, this algorithm is an application of kalman good example!)