sift算法的c算法，基于opencv的，一个大牛写得，很厉害的。

it is based on morphology,imageprocess

介绍一款监视器行业用的汉字字符叠加芯片 用于叠加汉字信息于摄像头采集的图像 文件中包括使用说明书,原理图,驱动程序 及专用字库生成软件-Monitor industry introduce a Chinese character used for stacking chip stacking characters of information collected in the camera image file including the use of manuals, schematics, drivers, and the exclusive character generation software

本程序用VC实现Harris角点检测的算法，浅显易懂，便于操作。-This procedure VC realize with Harris corner detection algorithm, easy to understand and easy to operate.

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

PCA-SIFT实现图像的不变性特征提取,利用主元分析提取SIFT特征,提高了效率.-PCA-SIFT invariant image feature extraction, using principal component analysis extracted SIFT features, improved efficiency.

OpenCV RGB直方图 使用VS2008+OpenCV库开发，读取彩色图片，分别显示RGB三通道直方图。运行需安装OpenCV2.0。-OpenCV RGB histograms Developed with VS2008+ OpenCV library, reading colorful image, respectively display three-channel RGB histograms . Need install OpenCV2.0.

针对传统方法难以可靠估计图像中纹理单一区域像素点视差的问题,将纹理分析应用于立体匹配中,提 出图像分块整体匹配的方法。首先用LBP/C纹理分析方法对图像纹理进行描述 然后进行基于区域生长的扩张检 测,得到纹理单一图像块 最后对图像块进行整体匹配,得到纹理单一区域的稠密视差图。对国际标准图像进行测试, 结果表明该算法能提高纹理单一区域稠密视差图的精度,具有实用价值 -Due to the difficulty of getting disparity of less textured pixels with traditional approach, block matching algorithm with texture analysis was put forward. First, the images were described by LBP/C texture analysis. Then the expansion detection based on region growing was performed, and the less textured blocks were acquired. Finally the dense disparitymap of less textured area was obtained through block matching. The proposed algorithm was tested with the international standard image data and comparedwith some existing algorithms. The experimental results show that the proposed algorithm can improve the accuracy of disparitywhen handling less textured areas and can be used in practic

SAR图像处理一直是一个难题，这里提供了SAR图像中道路的检测算法-SAR image processing is a problem here with the SAR image detection algorithm road

opencv中的图像跟踪算法，能很好的追踪视频图像中的运动物体。是很不错的跟踪算法，适合初学者反复研究。-opencv image tracking algorithm, can be a very good video images to track the moving object. Is a very good tracking algorithm, suitable for beginners repeated study.