TP2

KLT point match:Detection and Tracking of Point Features.

对图像进行镜像处理，是最基本的图像处理操作(Mirror image is the most basic image processing operations )

关于对极几何图像中八点算法的MATLAB实现，刚开始做 ，请多指教(on very geometric images 8:00 algorithm in MATLAB, just beginning, please enlighten)

对采样得到的180幅断层图像进行重建，并针对其中的一幅图像进行处理，并且统计图像中颗粒的大小和数目！(Tomographic images of 180 samples obtained were rebuilt, and for which an image processing and image size and number of particles statistics!)

jpeg压缩代码 An example for jpeg compression and the restoration。(The attached utility is a work I ve submitted to the university. It shows what a jpeg compression is all about.)

说明：  分布式合成孔径雷达成像仿真，包含像素级配准。(Distributed Simulation of synthetic aperture radar imaging, including pixel-level registration.)

在统计学中，皮尔逊积矩相关系数（英语：Pearson product-moment correlation coefficient，又称作 PPMCC或PCCs[1], 文章中常用r或Pearson s r表示）用于度量两个变量X和Y之间的相关（线性相关），其值介于-1与1之间。在自然科学领域中，该系数广泛用于度量两个变量之间的相关程度。它是由卡尔·皮尔逊从弗朗西斯·高尔顿在19世纪80年代提出的一个相似却又稍有不同的想法演变而来的。这个相关系数也称作“皮尔森相关系数r”。(In statistics, Pearson product-moment correlation coefficient (English: Pearson product-moment correlation coefficient, also known PPMCC or PCCs [1], the article used or Pearson s r r representation) is a measure of the two variables X and Y between correlation (linear correlation), a value between-1 and 1. In the natural sciences, the coefficient is widely used to measure the degree of correlation between the two variables. It is made a similar Karl Pearson Francis Galton in the 1880s but made a slightly different idea evolved. The correlation coefficient is also called Pearson s correlation coefficient r .)

基于核的相关滤波跟踪方法，最新的，TPMAI上的文章，速度超级快！(This MATLAB code implements a simple tracking pipeline based on the Kernelized Correlation Filter (KCF), and Dual Correlation Filter (DCF).)

说明：  用MATLAB实现数字图像处理的块编码，数字化，锐化，灰度级变换，直方差均衡等等。(Using MATLAB realization of digital image processing block coding, digitization, sharpening, gray-scale transformation, and so straight variance balanced.)

以混合高斯模型为基础，利用背景差分法获得目标图像并有阴影检测的方法进行目标检测(The Gaussian mixture model based on the use of the background difference method to obtain the target image and a shadow detection method for target detection)