patchbasedtexturesynthesis

说明：  python实现双目立体匹配SGBM算法(SGBM algorithm for binocular stereo matching based on Python)

基于卡尔曼滤波器的监控系统的设计，实现了对运动目标进行识别，并对其运动轨迹进行预测的功能；当二值化图像超过一定阈值时，判断为有外人入侵，实现报警功能。(Kalman filter based on the design of monitoring system to achieve the recognition of moving objects, and its motion trajectory prediction function when the binary image exceeds a certain threshold, to determine the invasion of outsiders, to achieve alarm function.)

视频图像处理，可以实时处理视频数据，包括canny算子，边缘检测等(video image processing, real-time processing video data, including the canny operator, edge detection, etc.)

二维分数阶傅立叶变换程序，可用于图像，信号的处理，博士师兄编写，亲测可用(2-D Fractional Fourier transform)

说明：  有雾天气下图像清晰化方法研究 图象增强的各种方法 内含程序(Foggy weather images clear method of image enhancement program includes a variety of methods)

调用 envi5.3自带的FMask云检测功能，并输出掩膜文件(Call the FMash cloud detection function of envi5.3 and output the mask file)

说明：  医学图像图像配准方法，采用了经典的基于灰度的方法。(This is a general purpose registration method for medical images. )

计算机图形学图像处理学习内容，附带PPT教程里面的代码。(the ppt for Digital Image)

快速角点检测，对学习角点检测同学应该有帮助。(Fast corner detection, detect students learning corners should help.)

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 .)