HOSA-Toolbox

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)

此程序采用 FCM，模糊c 均值方法，用于边缘检测(This program uses FCM, fuzzy C mean method, for edge detection)

阴影检测,基于OpenCV用于对图像中阴影的检测(Shadow detection, OpenCV for image shadow detection)

a1:将二进制文件转为Matalb数据 并批量 联合开发网 - pudn.com

实现图像的几何变换，用控制栅格的方法来将一幅变形的图片恢复原型(Image geometric transformation, with control of the grid method to deformation of an image to restore the prototype)

说明：  LK光流法算法，基于LK光流法的Matlab算法，本人自编(LK Optical Flow In Matlab)

说明：  这个例子展示了如何使用proj_match_points_transformtion_ransac在拼接应用程序中观察两个图像。(This example shows how to use proj_match_points_distortion_ransac tomatch two images in a mosaicking application.)

说明：  提取亚像素精度的中心线的线检测算法，适用于线结构光的中心提取(Line detection algorithm for extracting sub-pixel centerline is suitable for extracting the centerline of line structured light.)

说明：  利用帧间差分法对视频中的目标进行检测，动态，可运行(Target detection in video)

INSAR相位解缠绕程序，matlab编的(INSAR phase unwrapping procedures, matlab series)