matlab图像稀疏表示代码

混合高斯模型使用K（基本为3到5个） 个高斯模型来表征图像中各个像素点的特征,在新一帧图像获得后更新混合高斯模型,用当前图像中的每个像素点与混合高斯模型匹配,如果成功则判定该点为背景点, 否则为前景点。通观整个高斯模型，他主要是有方差和均值两个参数决定，,对均值和方差的学习,采取不同的学习机制,将直接影响到模型的稳定性、精确性和收敛性。由于我们是对运动目标的背景提取建模，因此需要对高斯模型中方差和均值两个参数实时更新。为提高模型的学习能力,改进方法对均值和方差的更新采用不同的学习率 为提高在繁忙的场景下,大而慢的运动目标的检测效果,引入权值均值的概念,建立背景图像并实时更新,然后结合权值、权值均值和背景图像对像素点进行前景和背景的分类。(Gaussian mixture model using K (essentially 3-5) Gaussian model to characterize the features of each pixel in the image, in the image of the new frame for updated Gaussian mixture model, with each pixel in the image with a Gaussian mixture current model matching, if successful, determined that the point of the background points, otherwise the former attraction. Throughout the entire Gaussian model, he mainly has two parameters determine the variance and the mean, the mean and variance of the study, to take a different learning mechanism, will directly affect the stability, accuracy and convergence model. Since we are moving object extraction of the background modeling, so the need for the Gaussian model variance and mean two parameters real-time updates. In order to improve the learning ability of the model, an improved method for updating the mean and variance of different learning rates to improve in the busy scene, large and slow moving object detection results, the introduction of)

3d相册代码 效果不错

说明：  进行三维去高后，根据sar参数信息，将斜距转变为地距。(After performing three-dimensional height removal, the slope distance is converted to ground distance according to the sar parameter information.)

水平集方法的图像边缘检测算法，包括参考论文和matlab的demo及其测试图像(Level set method of image edge detection algorithm, including the reference papers and matlab the demo and test images)

采用考虑湍流内外尺度影响的退化模型来恢复大气湍流降质图像，运用包含了湍流内外尺度影响的波结构函数、折射率谱以及薄透镜成像的退化函数导出了新的退化模型。(A new degradation model includling the influence of outer-and inner-scale of turbulence is presented to restore atmospheric turbulence degradation images. )

数字图像处理的基础知识学习 涵盖源代码，有助于提高编程(digital image processing )

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)

这是一个关于基于方向谷形检测的静脉纹路分割的MATLAB程序代码，(Vein vein segmentation based on directional valley detection)

处理计算机视觉中图像分析的图像轮廓检测和分层图像分割问题(Image processing computer vision analysis of image contour detection and hierarchical image segmentation)

计算图像的几何不变矩—Hu矩，以及图像的相似度，在vc下实现。(Calculate the geometric image invariant moments-Hu moments, as well as the similarity of the image, achieved under vc.)