getargs

在张正友的基于平面方格的摄象机标定中,单应矩阵是关键的一步,本程序是效率精度比较高的源码(Zhang is the Friends of the plane on the box camera calibration alone should matrix is a crucial step, The procedure is relatively high efficiency accuracy of source)

此程序为shearlet程序，用于对图像进行分解变换，有兴趣的可以下载(This procedure for shearlet program for image decomposition transform, are interested can download)

sift 的c++代码。。。。。。。。。。。。(sift c++ code)

Graph Cutshi是最近在计算机视觉中研究和应用比较多的优化算法，典型的用于stereo matching, image restortion, texture synthesis等应用，以上代码给出了graph cut，mean shift, 以及相关的ppm/pgm图像借口，本来是用于stereo matching的，已经把相关的matching的实现代码给去掉了。大家可以以此为平台做一些相关的研究和应用。 (Graph Cutshi recently in computer vision research and application of a relatively large number of optimization algorithms, typical for the stereo matching, image restortion, texture synthesis applications, the above code gives the graph cut, mean shift, and the associated ppm/pgm images an excuse, it is used for stereo matching, and has been related to matching the code to realize removed. U.S. can also be used as a platform to do some related research and applications.)

说明：  图像采集，简单的c#联合halcon做ncc模板匹配的操作(Image acquisition, simple C# combined with Halcon to do NCC template matching operation)

radon算法opencv实现，能够很好的实现图像的水平旋转矫正。( implementing the radon by opencv.)

matlab编写全极化雷达影像pauli分解，分解为三个分量，希望对你有帮助(matlab write full-polarization radar images pauli decomposed into three components, you want to help)

实现图像下采样，实现的采样方法有最邻近采样法、二次插值法、双三次卷积法。(Image sampling, the sampling method to achieve the nearest neighbor sampling method, the quadratic interpolation, bicubic convolution.)

指纹图像增强，gabor滤波器，包括形态学分割，形态学细化，加窗短时傅里叶变换增强，方向图估计及平滑，纹线频率估计及平滑(Fingerprint image enhancement, gabor filters, normalization, equalization, morphological segmentation, morphological thinning, windowed short time Fourier transform enhanced estimates and smooth pattern, ridge frequency estimation and smoothing)

基于JPEG压缩的无参考图像质量评价算法，输入一幅图像，输出图像的评价值，值在0-100之间，越接近0图像的质量越好(JPEG-based compression algorithm for no-reference image quality assessment, an input image, the output image uation value, a value between 0-100, closer to 0 the better the image quality)