imMosaic

Gabor 小波变换用于面部表情特征提取(Gabor Transform用于表情识别)

polsarpro软件的使用说明，适合处理极化SAR图像。(polsarpro the software instructions for dealing with polarization SAR images.)

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)

说明：  在google earth engine云平台对影像进行自动分类提取，需要手动输入样本及研究区(Automatic image classification and extraction on Google Earth engine cloud platform requires manual input of samples and research areas)

用hilbert曲线扫描图像后，进行图像检索的代码，里面有很多有用的代码(After scanning the image with the hilbert curve, the image retrieval code, there are a lot of useful code)

文章讲诉的是小波在信号处理方面的应用，包括奇异点的检测，信号降噪等，有很全的原理介绍，有仿真程序和结论分析，具有一定的学习价值(V. article stresses that the wavelets in signal processing applications, including the singular point detection, signal noise, etc., have very wide introduction of the principle, procedure and conclusions have simulation analysis, has some learning value)

采用hough变换检测仪表的指针位置，但是易受背景、边缘直线的干扰(The Hough transform is used to detect the position of the pointer, but it is vulnerable to the interference of background and edge lines.)

说明：  基于OpenCV的MPEG-7特征提取，c++代码(MPEG-7 feature extraction based on OpenCV)

图像处理,matlab文件，利用SURF进行图像拼接，完成图像配准(Image processing, matlab files, image stitching using SURF, image registration completed)

说明：  图像拼接部分的重要程序，绝对有用，毕设的东西(An important part of the image mosaic program, absolutely useful, complete set of things)