预处理

说明：  根据文献Verification of color vegetation indices for automated crop imaging applications所述方法实现的可见光（RGB）的植被提取，效果非常好，压缩文件内附有该文献英文原文，以及部分供测试图片。(According to the method described in the document verification of color vegetation indexes for automated cross imaging applications, the effect of vegetation extraction of visible light (RGB) is very good. The original English version of the document and some test pictures are attached to the compressed file.)

对比CPU和GPU加速，pcl::cuda的使用教程，利用随机采样一致(RANSAC)去除地平面等例子。(Compare CPU and GPU acceleration, pcl::cuda tutorial, using random sampling consistency (RANSAC) to remove ground plane and other examples.)

说明：  通过利用“Otsu”方法对图像进行全局阈值分割处理。然后，将灰度图转化成二值图，为获得大豆颗粒计数和大小做准备。调用函数获得图像连通图的数量，并测量标注矩阵中每个标注区域的属性，获得每个标注区域的长度。最后通过寻找每个区域的重心数，即可统计出大豆的个数(The Otsu method is used to segment the image. Then, the gray-scale image is transformed into a binary image to prepare for the soybean particle count and size. Call the function to get the number of connected graphs, measure the attributes of each annotation region in the annotation matrix, and get the length of each annotation region. Finally, the number of soybean can be calculated by finding the number of barycenters in each region)

C# 以任意角度旋转图片实例

粒子滤波的五个经典例子，需要的赶紧下，对与学习部分内容很有帮助(Particle filter five classic example of the need to hurry, the right part of the contents and learning very helpful)

遥感数字图像中影像镶嵌，enviIDL源码下载(Remote sensing digital image image mosaic, envi IDL source code download)

一个简单的图像浏览器，对初学C++开发图像处理系统的朋友有启迪作用。(A simple image viewer, for beginners C++ image processing system developed friends revealing. )

基于空域的脆弱水印，可以有效检测出图像发生篡改的区域(Airspace based on fragile watermarking can effectively detect the occurrence of tampering with the image of the region)

说明：  光流计算得到运动场。使用算法为Lucas Kanade算法。(optical flow calculated Sports Ground. Lucas uses algorithms to Kanade algorithm.)

基于小波变换的图像融合源程序，通过调试，能直接使用。(Image fusion based on wavelet transform source code through the debugger can be used directly.)