inphase

视频演示算法包括： 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法 (Algorithm for video presentation include: 1. Static background background prediction target detection 2. Static background frame difference method for target detection 3. Mean Shift tracking method 4. Gravity multi-target tracking method)

KMS跟踪算法源代码，目前最快的但目标跟踪算法（没有之一）。工程可以直接运行(KMS tracking algorithm source code, but the fastest target tracking algorithm. Project can be run directly)

对输入视频进行处理，使用高斯背景建模的方法，得到视频前景，对于人群密度估计具有很大作用。(Processing of the input video, using a Gaussian background modeling method, to get videos prospects for population density estimation has a significant role.)

基于像素标记的连通区域计算程序，只针对二值图像，随附有。(Based on regional connectivity calculation procedure pixel tags, only for the binary image, comes with.)

本程序可实现维纳滤波，可应用于反褶积等反问题的求解过程中，是非常简单实用的(This program can be realized Wiener filter can be applied to deconvolution inverse problems and the process is very simple and practical)

VC和OpenGL实现的点云读取界面，需要的朋友可以下载参考(VC and OpenGL realize the point cloud to read interface, the need for a friend can download the reference)

RAw格式图片的显示，边缘检测，包括SOBEL算子，具有不同模板的拉普拉斯算子边缘检测，以及一些简单的滤波方式(sadfsadf asdfasdf asdf)

图像拼接！！此为本人的毕业设计源码，能完整远行，希望能对大家起到帮助。强烈鄙视那些为了骗取下载数而上载一些无关紧要代码甚至是编译错误一堆的卑鄙小人(Image mosaic! ! This is my graduation project source code can be a complete separation, I hope everyone can help. Strongly despise those who cheat in order to download and upload some irrelevant code compiler error or even a bunch of despicable villains)

图像处理源程序，实现二值化变换，经一幅图像灰度化后，变成二值化图像，包括大津法、最大类间方差法、一般阈值法、及文本识别最有用的Niblack法(Image processing program and realized binarization transformation, after by a gray-scale image into binary image, including the Otsu method, Otsu method, the general threshold, and text to identify the most useful Niblack method)

结合维纳滤波的小波降噪方法，滤波效果很好(Combination of Wiener filtering of wavelet noise reduction method, filter works well)