SAR图像中目标识别：这里提供的是SAR图像中河流的检测识别

经典的配准工具箱作者是ZITOVA,图像综述的作者-classical registration toolbox

图像变换算法，本代码实现普通DCT，快速DCT,快速IDCT算法-Image transform algorithm, the code to achieve common DCT, fast DCT, fast IDCT algorithm

提出了基于边缘特征的亚像素投影配准算法,法引入新的图像相似性评价函数 ― 均方误差函数(Mean Sequare Er ron ,MSE)-Proposed sub-pixel edge features based projection matching algorithm, France and the introduction of a new image similarity evaluation function- the mean square error function (Mean Sequare Er ron, MSE)

windows下用opencv实现的图像变换和视频跟踪，这是自己编写的代码-AppWizard has created this cvmedianfilter application for you. This application not only demonstrates the basics of using the Microsoft Foundation classes but is also a starting point for writing your application. This file contains a summary of what you will find in each of the files that make up your cvmedianfilter application.

区域生长法获取图像边界 必须有种子 可以有很多方法 这里直接鼠标点击-Region growing method to obtain the image the border must have a lot of methods of seed can have a direct mouse click here

Directshow中Video Mixer Render9的使用，很好的代码，具有很好的参考价值-Directshow China Video Mixer Render9 use, good code is a good reference value

This toolbox implements the algorithm in a fairly general way in a C file that can be called from Matlab. It allows to perform the traditional NL-means for denoising (for both B&W and color images) but also to use an arbitrary set of patches to perform the denoising. -This toolbox implements the algorithm in a fairly general way in a C file that can be called f rom Matlab. It allows to perform the traditiona l NL-means for denoising (for both B

里面是关于Hough变换的边缘检测的源代码-There is a Hough transform on the source code for edge detection

基于小波变换的多尺度边缘检测matlab源代码-Based on Wavelet Transform Multiscale edge detection matlab source code

稿件名称：Visual C++中双缓存滚动视图类开发及使用 稿件作者：钱昌松 刘志刚 程序名称：CachedScrollView 运行环境： 注意事项：-Manuscript name: Visual C++ In the double-buffering scroll view class development and the use of manuscripts Authors: Qian Chang-Song Liu Zhigang Name: CachedScrollView operating environment: Note: